With the advances in AI technology, the development of AI hardware has become increasingly crucial. SAIT is dedicated to creating diverse and innovative technologies to meet this demand.
We focus on cutting-edge R&D to drive the future of AI computing platform technology.
Furthermore, we are dedicated to introducing new computing technologies to the world that are expected to impact all aspects of our lives in the future. These include brain-inspired computing and quantum computing.
With the advances in AI technology, the development of AI hardware has become increasingly crucial. SAIT is dedicated to creating diverse and innovative technologies to meet this demand.
We focus on cutting-edge R&D to drive the future of AI computing platform technology.
Furthermore, we are dedicated to introducing new computing technologies to the world that are expected to impact all aspects of our lives in the future. These include brain-inspired computing and quantum computing.
With the advances in AI technology, the development of AI hardware has become increasingly crucial. SAIT is dedicated to creating diverse and innovative technologies to meet this demand.
We focus on cutting-edge R&D to drive the future of AI computing platform technology.
Furthermore, we are dedicated to introducing new computing technologies to the world that are expected to impact all aspects of our lives in the future. These include brain-inspired computing and quantum computing.
System semiconductors are the key technology in future-leading fields such as AI and HPC.
While the industry is increasingly in need of high-performance computing devices, current semiconductor technology faces a major challenge that indicates the end of Moore’s Law.
We intend to overcome this challenge by developing innovative semiconductors at the system level. Such system-level semiconductor requires the convergence of various technologies that enable specialized architectures. Therefore, we seek technologies to design creative processors and build large-scale chiplets.
Using our creative processor solution, we are developing our own CPU architecture for given applications regarding power, performance, and area (PPA).
Eventually, we expect these solutions to have synergies that can transcend Moore’s Law.
System semiconductors are the key technology in future-leading fields such as AI and HPC.
While the industry is increasingly in need of high-performance computing devices, current semiconductor technology faces a major challenge that indicates the end of Moore’s Law.
We intend to overcome this challenge by developing innovative semiconductors at the system level. Such system-level semiconductor requires the convergence of various technologies that enable specialized architectures. Therefore, we seek technologies to design creative processors and build large-scale chiplets.
Using our creative processor solution, we are developing our own CPU architecture for given applications regarding power, performance, and area (PPA).
Eventually, we expect these solutions to have synergies that can transcend Moore’s Law.
System semiconductors are the key technology in future-leading fields such as AI and HPC.
While the industry is increasingly in need of high-performance computing devices, current semiconductor technology faces a major challenge that indicates the end of Moore’s Law.
We intend to overcome this challenge by developing innovative semiconductors at the system level. Such system-level semiconductor requires the convergence of various technologies that enable specialized architectures. Therefore, we seek technologies to design creative processors and build large-scale chiplets.
Using our creative processor solution, we are developing our own CPU architecture for given applications regarding power, performance, and area (PPA).
Eventually, we expect these solutions to have synergies that can transcend Moore’s Law.
A supercomputer performs at or near the highest operational rate for computers. Supercomputers have been used to achieve scientific and engineering breakthroughs. By handling extremely large databases and performing a large number of computations, they continue to push operational speed limits.
At any given time, there are well-publicized supercomputers that operate at extremely high speeds relative to all other computers. The race to have the fastest and most powerful supercomputer never ends and the competition does not seem to be slowing down anytime soon. With scientists and engineers using supercomputers for important tasks like studying diseases and simulating new materials, we hope that these advances will benefit all of humanity.
Samsung has its own supercomputing center, which plays an important role in the field of computational science and is applied to a wide range of tasks in various fields. The Samsung Supercomputer has been used to compute novel structures and properties of chemical compounds, polymers, and crystals. It has also served as a key element in accelerating Samsung’s artificial intelligence research in machine learning, deep learning, and data analytics.
The main research topics include new machine learning software, parallel computing, simulation workflows, automation and optimized deployment, novel material discovery and simulation, and the management of real-time computing grids.
A supercomputer performs at or near the highest operational rate for computers. Supercomputers have been used to achieve scientific and engineering breakthroughs. By handling extremely large databases and performing a large number of computations, they continue to push operational speed limits.
At any given time, there are well-publicized supercomputers that operate at extremely high speeds relative to all other computers. The race to have the fastest and most powerful supercomputer never ends and the competition does not seem to be slowing down anytime soon. With scientists and engineers using supercomputers for important tasks like studying diseases and simulating new materials, we hope that these advances will benefit all of humanity.
Samsung has its own supercomputing center, which plays an important role in the field of computational science and is applied to a wide range of tasks in various fields. The Samsung Supercomputer has been used to compute novel structures and properties of chemical compounds, polymers, and crystals. It has also served as a key element in accelerating Samsung’s artificial intelligence research in machine learning, deep learning, and data analytics.
The main research topics include new machine learning software, parallel computing, simulation workflows, automation and optimized deployment, novel material discovery and simulation, and the management of real-time computing grids.
A supercomputer performs at or near the highest operational rate for computers. Supercomputers have been used to achieve scientific and engineering breakthroughs. By handling extremely large databases and performing a large number of computations, they continue to push operational speed limits.
At any given time, there are well-publicized supercomputers that operate at extremely high speeds relative to all other computers. The race to have the fastest and most powerful supercomputer never ends and the competition does not seem to be slowing down anytime soon. With scientists and engineers using supercomputers for important tasks like studying diseases and simulating new materials, we hope that these advances will benefit all of humanity.
Samsung has its own supercomputing center, which plays an important role in the field of computational science and is applied to a wide range of tasks in various fields. The Samsung Supercomputer has been used to compute novel structures and properties of chemical compounds, polymers, and crystals. It has also served as a key element in accelerating Samsung’s artificial intelligence research in machine learning, deep learning, and data analytics.
The main research topics include new machine learning software, parallel computing, simulation workflows, automation and optimized deployment, novel material discovery and simulation, and the management of real-time computing grids.
Recent deep learning models require enormous memory bandwidths to read/store huge amounts of weights and activations from/to memory devices. However, these data movements are very expensive in terms of system energy and latency.
Traditional von Neumann architectures consist of processor chips specialized for serial processing and DRAMs optimized for high-density memory. The interface between the two devices is a major bottleneck that results in high power consumption. In addition, this limitation introduces latency and bandwidth constraints. Processing in memory is actively being researched as one way to solve these issues.
Processing in memory architecture integrates memory and processing units. The performance constraint problem can be solved by enabling computation closer to the data. Near/in-memory computing can dramatically reduce both the latency and energy of data transmission between memory and processing units.
SAIT is actively collaborating with Samsung business units to explore future memory architectures.
Recent deep learning models require enormous memory bandwidths to read/store huge amounts of weights and activations from/to memory devices. However, these data movements are very expensive in terms of system energy and latency.
Traditional von Neumann architectures consist of processor chips specialized for serial processing and DRAMs optimized for high-density memory. The interface between the two devices is a major bottleneck that results in high power consumption. In addition, this limitation introduces latency and bandwidth constraints. Processing in memory is actively being researched as one way to solve these issues.
Processing in memory architecture integrates memory and processing units. The performance constraint problem can be solved by enabling computation closer to the data. Near/in-memory computing can dramatically reduce both the latency and energy of data transmission between memory and processing units.
SAIT is actively collaborating with Samsung business units to explore future memory architectures.
Recent deep learning models require enormous memory bandwidths to read/store huge amounts of weights and activations from/to memory devices. However, these data movements are very expensive in terms of system energy and latency.
Traditional von Neumann architectures consist of processor chips specialized for serial processing and DRAMs optimized for high-density memory. The interface between the two devices is a major bottleneck that results in high power consumption. In addition, this limitation introduces latency and bandwidth constraints. Processing in memory is actively being researched as one way to solve these issues.
Processing in memory architecture integrates memory and processing units. The performance constraint problem can be solved by enabling computation closer to the data. Near/in-memory computing can dramatically reduce both the latency and energy of data transmission between memory and processing units.
SAIT is actively collaborating with Samsung business units to explore future memory architectures.
As AI applications become more integrated into daily life, deep learning workloads are being deployed on a range of devices, from mobile devices to servers. Moreover, with increasingly varied structural and operational features in neural networks, a diverse range of AI accelerators and systems is being researched. As systems become more varied in scale and heterogeneity, ensuring optimal system performance becomes more challenging.
To solve this problem, it is essential to research the system software, including programming models, compilers, and runtimes. SAIT is currently focusing on researching a software stack that can support extreme scales, ranging from edge devices to data centers, and that can handle the heterogeneity in which AI accelerators and in-memory processing units coexist. Additionally, our aim is to unify software optimization techniques like parallelization and scheduling by generalizing the optimization problem for various target hardware and systems. Furthermore, recent research at SAIT involves exploring deep-learning-based compiler optimization to address the increasing search space of optimization problems as AI systems continue to grow in scale and complexity.
As AI applications become more integrated into daily life, deep learning workloads are being deployed on a range of devices, from mobile devices to servers. Moreover, with increasingly varied structural and operational features in neural networks, a diverse range of AI accelerators and systems is being researched. As systems become more varied in scale and heterogeneity, ensuring optimal system performance becomes more challenging.
To solve this problem, it is essential to research the system software, including programming models, compilers, and runtimes. SAIT is currently focusing on researching a software stack that can support extreme scales, ranging from edge devices to data centers, and that can handle the heterogeneity in which AI accelerators and in-memory processing units coexist. Additionally, our aim is to unify software optimization techniques like parallelization and scheduling by generalizing the optimization problem for various target hardware and systems. Furthermore, recent research at SAIT involves exploring deep-learning-based compiler optimization to address the increasing search space of optimization problems as AI systems continue to grow in scale and complexity.
As AI applications become more integrated into daily life, deep learning workloads are being deployed on a range of devices, from mobile devices to servers. Moreover, with increasingly varied structural and operational features in neural networks, a diverse range of AI accelerators and systems is being researched. As systems become more varied in scale and heterogeneity, ensuring optimal system performance becomes more challenging.
To solve this problem, it is essential to research the system software, including programming models, compilers, and runtimes. SAIT is currently focusing on researching a software stack that can support extreme scales, ranging from edge devices to data centers, and that can handle the heterogeneity in which AI accelerators and in-memory processing units coexist. Additionally, our aim is to unify software optimization techniques like parallelization and scheduling by generalizing the optimization problem for various target hardware and systems. Furthermore, recent research at SAIT involves exploring deep-learning-based compiler optimization to address the increasing search space of optimization problems as AI systems continue to grow in scale and complexity.
Artificial intelligence has recently made significant advancements, propelled by the explosion of vast amounts of data and enhanced computing power. However, it still grapples with numerous challenges. In particular, the energy required for computation is massive, and the evolution of computing architecture, which follows Moore‘s Law, struggles to keep pace with the rapid growth of AI models, hitting constraints like the von Neumann bottleneck. Moreover, although AI, especially large-scale language models, surpasses humans in some areas, it still falls short in replicating basic behaviors effortlessly performed even by the simplest organisms.
Neuromorphic computing offers a solution to this problem. SAIT is conducting research on brain reverse engineering to understand the structure and principles of biological neural systems. This research also extends to the design and development of learning and inference algorithms that reflect these insights, along with sensor and computing devices. The ultimate goal is to create a new, more efficient, and powerful computing architecture that can handle complex tasks, surpassing the existing von Neumann structures. This ambition aims to present a new computing paradigm through architecture innovation.
Artificial intelligence has recently made significant advancements, propelled by the explosion of vast amounts of data and enhanced computing power. However, it still grapples with numerous challenges. In particular, the energy required for computation is massive, and the evolution of computing architecture, which follows Moore‘s Law, struggles to keep pace with the rapid growth of AI models, hitting constraints like the von Neumann bottleneck. Moreover, although AI, especially large-scale language models, surpasses humans in some areas, it still falls short in replicating basic behaviors effortlessly performed even by the simplest organisms.
Neuromorphic computing offers a solution to this problem. SAIT is conducting research on brain reverse engineering to understand the structure and principles of biological neural systems. This research also extends to the design and development of learning and inference algorithms that reflect these insights, along with sensor and computing devices. The ultimate goal is to create a new, more efficient, and powerful computing architecture that can handle complex tasks, surpassing the existing von Neumann structures. This ambition aims to present a new computing paradigm through architecture innovation.
Artificial intelligence has recently made significant advancements, propelled by the explosion of vast amounts of data and enhanced computing power. However, it still grapples with numerous challenges. In particular, the energy required for computation is massive, and the evolution of computing architecture, which follows Moore‘s Law, struggles to keep pace with the rapid growth of AI models, hitting constraints like the von Neumann bottleneck. Moreover, although AI, especially large-scale language models, surpasses humans in some areas, it still falls short in replicating basic behaviors effortlessly performed even by the simplest organisms.
Neuromorphic computing offers a solution to this problem. SAIT is conducting research on brain reverse engineering to understand the structure and principles of biological neural systems. This research also extends to the design and development of learning and inference algorithms that reflect these insights, along with sensor and computing devices. The ultimate goal is to create a new, more efficient, and powerful computing architecture that can handle complex tasks, surpassing the existing von Neumann structures. This ambition aims to present a new computing paradigm through architecture innovation.
Quantum computing utilizes the laws of quantum physics to simulate and solve complex problems and is expected to bring revolutionary computing power to our daily lives. To make it come true, quantum computers should perform their operations in the fault-tolerant regime, and millions of qubits and the high-fidelity of gate operations are known to be required.
To achieve this goal, SAIT is conducting research on the foundational technologies for fabricating, controlling, and measuring solid-state-based qubits. We are developing an integrated quantum processing unit consisting of superconducting multi-qubit chip and cryogenic CMOS control chip to build a scalable and reliable fault-tolerant quantum computer.
Quantum computing utilizes the laws of quantum physics to simulate and solve complex problems and is expected to bring revolutionary computing power to our daily lives. To make it come true, quantum computers should perform their operations in the fault-tolerant regime, and millions of qubits and the high-fidelity of gate operations are known to be required.
To achieve this goal, SAIT is conducting research on the foundational technologies for fabricating, controlling, and measuring solid-state-based qubits. We are developing an integrated quantum processing unit consisting of superconducting multi-qubit chip and cryogenic CMOS control chip to build a scalable and reliable fault-tolerant quantum computer.
Quantum computing utilizes the laws of quantum physics to simulate and solve complex problems and is expected to bring revolutionary computing power to our daily lives. To make it come true, quantum computers should perform their operations in the fault-tolerant regime, and millions of qubits and the high-fidelity of gate operations are known to be required.
To achieve this goal, SAIT is conducting research on the foundational technologies for fabricating, controlling, and measuring solid-state-based qubits. We are developing an integrated quantum processing unit consisting of superconducting multi-qubit chip and cryogenic CMOS control chip to build a scalable and reliable fault-tolerant quantum computer.
Quantum computers, which operate under the principles of quantum mechanics, can perform complex calculations at an incredibly fast pace. This poses a threat to current cryptographic systems that rely on complex mathematical principles and are thus difficult to crack using traditional computers. To address this issue, postquantum cryptography (PQC) is being extensively researched and is already commercially available. With advances in quantum-computing technology, PQC is expected to lead future security technologies.
Quantum computers, which operate under the principles of quantum mechanics, can perform complex calculations at an incredibly fast pace. This poses a threat to current cryptographic systems that rely on complex mathematical principles and are thus difficult to crack using traditional computers. To address this issue, postquantum cryptography (PQC) is being extensively researched and is already commercially available. With advances in quantum-computing technology, PQC is expected to lead future security technologies.
Quantum computers, which operate under the principles of quantum mechanics, can perform complex calculations at an incredibly fast pace. This poses a threat to current cryptographic systems that rely on complex mathematical principles and are thus difficult to crack using traditional computers. To address this issue, postquantum cryptography (PQC) is being extensively researched and is already commercially available. With advances in quantum-computing technology, PQC is expected to lead future security technologies.
In semiconductor technology, innovative material solutions are essential to overcome the limitations of existing technologies. As next-generation memory and logic demand extreme scaling, traditional materials and methods often fall short in meeting performance, power, and scalability requirements. Innovative materials enable new approaches to transistor design, interconnects, and memory storage, driving the continued evolution of computing technologies. These materials not only improve the efficiency and capabilities of electronic devices, but also support the development of smaller, faster, and more energy-efficient components.
In semiconductor technology, innovative material solutions are essential to overcome the limitations of existing technologies. As next-generation memory and logic demand extreme scaling, traditional materials and methods often fall short in meeting performance, power, and scalability requirements. Innovative materials enable new approaches to transistor design, interconnects, and memory storage, driving the continued evolution of computing technologies. These materials not only improve the efficiency and capabilities of electronic devices, but also support the development of smaller, faster, and more energy-efficient components.
In semiconductor technology, innovative material solutions are essential to overcome the limitations of existing technologies. As next-generation memory and logic demand extreme scaling, traditional materials and methods often fall short in meeting performance, power, and scalability requirements. Innovative materials enable new approaches to transistor design, interconnects, and memory storage, driving the continued evolution of computing technologies. These materials not only improve the efficiency and capabilities of electronic devices, but also support the development of smaller, faster, and more energy-efficient components.
Current trends in semiconductor technology emphasize the integration of novel materials to achieve breakthroughs in device performance and scaling. Key materials such as high-k dielectrics, alternative metals, nonvolatile memory materials, beyond-Si-channel materials like oxide semiconductors, and two-dimensional (2D) materials are at the forefront of research and development. These materials are critical for the miniaturization of electronic components. Alongside these advancements, there is ongoing research on new device schemes that promise to revolutionize memory storage with higher speed and efficiency.
Current trends in semiconductor technology emphasize the integration of novel materials to achieve breakthroughs in device performance and scaling. Key materials such as high-k dielectrics, alternative metals, nonvolatile memory materials, beyond-Si-channel materials like oxide semiconductors, and two-dimensional (2D) materials are at the forefront of research and development. These materials are critical for the miniaturization of electronic components. Alongside these advancements, there is ongoing research on new device schemes that promise to revolutionize memory storage with higher speed and efficiency.
Current trends in semiconductor technology emphasize the integration of novel materials to achieve breakthroughs in device performance and scaling. Key materials such as high-k dielectrics, alternative metals, nonvolatile memory materials, beyond-Si-channel materials like oxide semiconductors, and two-dimensional (2D) materials are at the forefront of research and development. These materials are critical for the miniaturization of electronic components. Alongside these advancements, there is ongoing research on new device schemes that promise to revolutionize memory storage with higher speed and efficiency.
SAIT is a leader in the development and implementation of advanced material solutions in the semiconductor industry. Our innovative technologies address the challenges of extreme scaling by leveraging novel materials to enhance the performance and efficiency of next-generation memory and logic devices. SAIT‘s portfolio includes cutting-edge high-k dielectrics, advanced metals, non-volatile memory materials, and pioneering work in 2D materials that offer further scaling. We have established performance prediction models for new channel materials, interconnects, and dielectrics and explored the relationship between their structures and properties to maximize the performance of new materials. We also aim to reduce the risks associated with introducing new materials into semiconductor processes by establishing a new material introduction process and ensuring compatibility with current generation processes. SAIT is at the forefront of delivering solutions that enable the continued progress of Moore’s Law and the advancement of semiconductor technology.
SAIT is a leader in the development and implementation of advanced material solutions in the semiconductor industry. Our innovative technologies address the challenges of extreme scaling by leveraging novel materials to enhance the performance and efficiency of next-generation memory and logic devices. SAIT‘s portfolio includes cutting-edge high-k dielectrics, advanced metals, non-volatile memory materials, and pioneering work in 2D materials that offer further scaling. We have established performance prediction models for new channel materials, interconnects, and dielectrics and explored the relationship between their structures and properties to maximize the performance of new materials. We also aim to reduce the risks associated with introducing new materials into semiconductor processes by establishing a new material introduction process and ensuring compatibility with current generation processes. SAIT is at the forefront of delivering solutions that enable the continued progress of Moore’s Law and the advancement of semiconductor technology.
SAIT is a leader in the development and implementation of advanced material solutions in the semiconductor industry. Our innovative technologies address the challenges of extreme scaling by leveraging novel materials to enhance the performance and efficiency of next-generation memory and logic devices. SAIT‘s portfolio includes cutting-edge high-k dielectrics, advanced metals, non-volatile memory materials, and pioneering work in 2D materials that offer further scaling. We have established performance prediction models for new channel materials, interconnects, and dielectrics and explored the relationship between their structures and properties to maximize the performance of new materials. We also aim to reduce the risks associated with introducing new materials into semiconductor processes by establishing a new material introduction process and ensuring compatibility with current generation processes. SAIT is at the forefront of delivering solutions that enable the continued progress of Moore’s Law and the advancement of semiconductor technology.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
Si-Photonics is a technology that integrates multiple photonic functions onto a silicon-based chip, manipulating light for various applications, including optical communication and processing.
Meta-Photonics explores innovative photonic devices made up of artificial nanostructures that enable new optical behaviors by customizing the optical response of each nanostructure.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
Si-Photonics is a technology that integrates multiple photonic functions onto a silicon-based chip, manipulating light for various applications, including optical communication and processing.
Meta-Photonics explores innovative photonic devices made up of artificial nanostructures that enable new optical behaviors by customizing the optical response of each nanostructure.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
Si-Photonics is a technology that integrates multiple photonic functions onto a silicon-based chip, manipulating light for various applications, including optical communication and processing.
Meta-Photonics explores innovative photonic devices made up of artificial nanostructures that enable new optical behaviors by customizing the optical response of each nanostructure.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
Silicon photonics refers to the technology that utilizes silicon as a platform for the generation, manipulation, and detection of light (photons). It aims to integrate photonic functions (like light sources, modulators, detectors, and waveguides) with electronic circuits on a single silicon substrate. Optical interconnects specifically utilize silicon photonics to transmit data using light instead of traditional electrical signals over copper wires. Silicon photonics for optical interconnects represents a significant advancement in data transmission technology, offering advantages in speed, bandwidth, power efficiency, and integration capabilities over traditional electrical interconnects.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
Silicon photonics is rapidly evolving, driven by the need for scalable, energy-efficient, and high-speed data communication. A key trend is the tight integration of photonics with electronics using CMOS-compatible processes and advanced packaging technologies. To overcome the limitations of silicon, researchers are introducing heterogeneous materials—such as III-V semiconductors—onto silicon wafers. Additionally, new design approaches like inverse design and AI-assisted optimization are enabling compact and high-performance photonic components.
In optical interconnect applications, research is progressing at multiple levels. At the device level, efforts focus on low-power, high-speed modulators, detectors, and light sources to support bandwidth scaling based on multiple wavelengths. Link architectures are adopting advanced modulation formats like PAM and QAM to increase bandwidth efficiency. Packaging is shifting from traditional pluggable optics to co-packaged optics, bringing photonics closer to compute/memory dies for lower power and higher bandwidth density. System-level co-optimization between photonic devices and computing architectures is becoming increasingly important to ensure end-to-end performance gain.
Beyond communication, silicon photonics is expanding into sensing and computing. Applications such as on-chip biosensors, LiDAR, neuromorphic systems, and quantum computing highlight its versatility. With continuous innovation in materials, packaging, and design, silicon photonics is emerging not only as a communication enabler but as a transformative platform across multiple technology domains.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
Silicon photonics is rapidly evolving, driven by the need for scalable, energy-efficient, and high-speed data communication. A key trend is the tight integration of photonics with electronics using CMOS-compatible processes and advanced packaging technologies. To overcome the limitations of silicon, researchers are introducing heterogeneous materials—such as III-V semiconductors—onto silicon wafers. Additionally, new design approaches like inverse design and AI-assisted optimization are enabling compact and high-performance photonic components.
In optical interconnect applications, research is progressing at multiple levels. At the device level, efforts focus on low-power, high-speed modulators, detectors, and light sources to support bandwidth scaling based on multiple wavelengths. Link architectures are adopting advanced modulation formats like PAM and QAM to increase bandwidth efficiency. Packaging is shifting from traditional pluggable optics to co-packaged optics, bringing photonics closer to compute/memory dies for lower power and higher bandwidth density. System-level co-optimization between photonic devices and computing architectures is becoming increasingly important to ensure end-to-end performance gain.
Beyond communication, silicon photonics is expanding into sensing and computing. Applications such as on-chip biosensors, LiDAR, neuromorphic systems, and quantum computing highlight its versatility. With continuous innovation in materials, packaging, and design, silicon photonics is emerging not only as a communication enabler but as a transformative platform across multiple technology domains.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
Silicon photonics is rapidly evolving, driven by the need for scalable, energy-efficient, and high-speed data communication. A key trend is the tight integration of photonics with electronics using CMOS-compatible processes and advanced packaging technologies. To overcome the limitations of silicon, researchers are introducing heterogeneous materials—such as III-V semiconductors—onto silicon wafers. Additionally, new design approaches like inverse design and AI-assisted optimization are enabling compact and high-performance photonic components.
In optical interconnect applications, research is progressing at multiple levels. At the device level, efforts focus on low-power, high-speed modulators, detectors, and light sources to support bandwidth scaling based on multiple wavelengths. Link architectures are adopting advanced modulation formats like PAM and QAM to increase bandwidth efficiency. Packaging is shifting from traditional pluggable optics to co-packaged optics, bringing photonics closer to compute/memory dies for lower power and higher bandwidth density. System-level co-optimization between photonic devices and computing architectures is becoming increasingly important to ensure end-to-end performance gain.
Beyond communication, silicon photonics is expanding into sensing and computing. Applications such as on-chip biosensors, LiDAR, neuromorphic systems, and quantum computing highlight its versatility. With continuous innovation in materials, packaging, and design, silicon photonics is emerging not only as a communication enabler but as a transformative platform across multiple technology domains.
Light is an electromagnetic wave that arises from the mutual interaction of time-varying electric and magnetic fields. The properties of such wave depend on the type and structure of the medium through which this wave passes. Meta-Photonics represents the study of new optical behaviors beyond conventional optical properties by developing a new space, constructed with various artificial nanostructures.
"Meta," from Greek, means "beyond" and in the context of Meta-Photonics refers to artificial properties that do not exist naturally. These artificial structures can generate unusual but useful phenomena, unanticipated from naturally observed materials. Meta-Photonics is capable of controlling various optical properties such as the amplitude, phase, polarization as well as the wavelength in a sub-wavelength scale. Thanks to this ability, various fields, including sensors, displays, communication, energy, and biotechnology apply the Meta-Photonics usefully.
Light is an electromagnetic wave that arises from the mutual interaction of time-varying electric and magnetic fields. The properties of such wave depend on the type and structure of the medium through which this wave passes. Meta-Photonics represents the study of new optical behaviors beyond conventional optical properties by developing a new space, constructed with various artificial nanostructures.
"Meta," from Greek, means "beyond" and in the context of Meta-Photonics refers to artificial properties that do not exist naturally. These artificial structures can generate unusual but useful phenomena, unanticipated from naturally observed materials. Meta-Photonics is capable of controlling various optical properties such as the amplitude, phase, polarization as well as the wavelength in a sub-wavelength scale. Thanks to this ability, various fields, including sensors, displays, communication, energy, and biotechnology apply the Meta-Photonics usefully.
Light is an electromagnetic wave that arises from the mutual interaction of time-varying electric and magnetic fields. The properties of such wave depend on the type and structure of the medium through which this wave passes. Meta-Photonics represents the study of new optical behaviors beyond conventional optical properties by developing a new space, constructed with various artificial nanostructures.
"Meta," from Greek, means "beyond" and in the context of Meta-Photonics refers to artificial properties that do not exist naturally. These artificial structures can generate unusual but useful phenomena, unanticipated from naturally observed materials. Meta-Photonics is capable of controlling various optical properties such as the amplitude, phase, polarization as well as the wavelength in a sub-wavelength scale. Thanks to this ability, various fields, including sensors, displays, communication, energy, and biotechnology apply the Meta-Photonics usefully.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
The trend of Meta-Photonics technology is evolving from basic research on principles to various advanced studies and new applications. Whereas the design technology has focused simple look-up table methods so far, which facilitate the changes of the phase and amplitude under altering one to three structures parameters at most in a unit cell, it has now advanced to designing high-complexity super cells for multifunctional capabilities. Additionally, with the introduction of inverse design technologies, high performance is being achieved in smaller form factors using new, non-intuitive structures. In terms of fabrication innovations, large-area and cost-effective manufacturing technologies are developing for various practical products. For example, high volume manufacturing technologies such as large-area photolithography, nanoimprint, and roll-to-roll printing are being developed, and another techniques like coating high-refractive-index materials on highly processable low-refractive-index substances are emerging. As design and processing technologies advance, Meta-Photonics is gradually being adopted in various consumer electronics. Infrared machine vision technologies such as liquid crystal-based beam steering and narrow-band dot pattern projectors have been introduced, and it is expected that products for the human vision spectrum in the visible range will appear soon. Furthermore, this technology is expanding into areas such as optical computing for edge detection and quantum metasurfaces.
SAIT develops next generation devices based on Si-Photonics and Meta-Photonics technologies to deliver future UX applications and innovative technologies to overcome industrial limitations in semiconductor processes.
We conduct research on on-chip optical links based on Si-Photonics integrated circuits, which bridge multiple semiconductor devices with dramatically enhanced communication speed. In addition, we develop Meta-Photonics optical structures that enable efficient color splitting for high-sensitive image sensors. Our research area also covers ultra-small and high-resolution LED displays based on III-V semiconductors and optical inspection techniques to improve the performance and process integration of semiconductor devices.
To bring future technologies that enrich our lives, we will cultivate optical technologies that lead innovation in semiconductor devices as well as convey new UX experiences.
SAIT develops next generation devices based on Si-Photonics and Meta-Photonics technologies to deliver future UX applications and innovative technologies to overcome industrial limitations in semiconductor processes.
We conduct research on on-chip optical links based on Si-Photonics integrated circuits, which bridge multiple semiconductor devices with dramatically enhanced communication speed. In addition, we develop Meta-Photonics optical structures that enable efficient color splitting for high-sensitive image sensors. Our research area also covers ultra-small and high-resolution LED displays based on III-V semiconductors and optical inspection techniques to improve the performance and process integration of semiconductor devices.
To bring future technologies that enrich our lives, we will cultivate optical technologies that lead innovation in semiconductor devices as well as convey new UX experiences.
SAIT develops next generation devices based on Si-Photonics and Meta-Photonics technologies to deliver future UX applications and innovative technologies to overcome industrial limitations in semiconductor processes.
We conduct research on on-chip optical links based on Si-Photonics integrated circuits, which bridge multiple semiconductor devices with dramatically enhanced communication speed. In addition, we develop Meta-Photonics optical structures that enable efficient color splitting for high-sensitive image sensors. Our research area also covers ultra-small and high-resolution LED displays based on III-V semiconductors and optical inspection techniques to improve the performance and process integration of semiconductor devices.
To bring future technologies that enrich our lives, we will cultivate optical technologies that lead innovation in semiconductor devices as well as convey new UX experiences.
The Next-generation Luminescent Material
The Next-generation Luminescent Material
The Next-generation Luminescent Material
Quantum dots (QDs) are semiconductor crystals that are several nanometers in size. Unlike bulk materials, changes in optical and electronic properties occur at the nanoscale owing to the quantum confinement effect and increased surface area. QDs exhibit this confinement effect and have the advantage of being able to control optical and electrical properties by scaling.
Quantum dots (QDs) are semiconductor crystals that are several nanometers in size. Unlike bulk materials, changes in optical and electronic properties occur at the nanoscale owing to the quantum confinement effect and increased surface area. QDs exhibit this confinement effect and have the advantage of being able to control optical and electrical properties by scaling.
Quantum dots (QDs) are semiconductor crystals that are several nanometers in size. Unlike bulk materials, changes in optical and electronic properties occur at the nanoscale owing to the quantum confinement effect and increased surface area. QDs exhibit this confinement effect and have the advantage of being able to control optical and electrical properties by scaling.
QDs have been widely used as wide-color-gamut display materials because of their easy wavelength control and high quantum efficiency, and the narrow FWHM (full width at half maximum) of their emission spectrum. In particular, QD TVs and monitors that use QD films or QD pixels to convert blue LED light sources into red or green light are now on the market. At present, we are actively developing and researching self-luminous QD-LED displays that utilize electroluminescence (EL) to convert electrical current into light, which can improve the viewing angle and contrast ratio of next generation displays. For QD applications, it is essential to synthesize high-quality uniform QD materials to coordinate the QD surfaces with appropriate organic ligands. In addition to display materials, we are investigating their application to solar cells, photodetectors, biomarkers, photocatalysis, and other applications.
QDs have been widely used as wide-color-gamut display materials because of their easy wavelength control and high quantum efficiency, and the narrow FWHM (full width at half maximum) of their emission spectrum. In particular, QD TVs and monitors that use QD films or QD pixels to convert blue LED light sources into red or green light are now on the market. At present, we are actively developing and researching self-luminous QD-LED displays that utilize electroluminescence (EL) to convert electrical current into light, which can improve the viewing angle and contrast ratio of next generation displays. For QD applications, it is essential to synthesize high-quality uniform QD materials to coordinate the QD surfaces with appropriate organic ligands. In addition to display materials, we are investigating their application to solar cells, photodetectors, biomarkers, photocatalysis, and other applications.
QDs have been widely used as wide-color-gamut display materials because of their easy wavelength control and high quantum efficiency, and the narrow FWHM (full width at half maximum) of their emission spectrum. In particular, QD TVs and monitors that use QD films or QD pixels to convert blue LED light sources into red or green light are now on the market. At present, we are actively developing and researching self-luminous QD-LED displays that utilize electroluminescence (EL) to convert electrical current into light, which can improve the viewing angle and contrast ratio of next generation displays. For QD applications, it is essential to synthesize high-quality uniform QD materials to coordinate the QD surfaces with appropriate organic ligands. In addition to display materials, we are investigating their application to solar cells, photodetectors, biomarkers, photocatalysis, and other applications.
Novel Technologies for Organic Devices
Novel Technologies for Organic Devices
Novel Technologies for Organic Devices
Electronic devices assembled using organic materials have recently received increased attention for applications related to light emission and absorption. The organic semiconductor materials used in these applications not only manage and improve the performance of the device but also influence the development direction of future electronic devices. Representative applications of electronic devices using organic semiconductor materials include light-emitting diodes (OLEDs) and stretchable devices.
Electronic devices assembled using organic materials have recently received increased attention for applications related to light emission and absorption. The organic semiconductor materials used in these applications not only manage and improve the performance of the device but also influence the development direction of future electronic devices. Representative applications of electronic devices using organic semiconductor materials include light-emitting diodes (OLEDs) and stretchable devices.
Electronic devices assembled using organic materials have recently received increased attention for applications related to light emission and absorption. The organic semiconductor materials used in these applications not only manage and improve the performance of the device but also influence the development direction of future electronic devices. Representative applications of electronic devices using organic semiconductor materials include light-emitting diodes (OLEDs) and stretchable devices.
OLED is one of the most attractive display technologies and has several advantages. OLEDs can emit a wide range of colors and produce deep black levels because there is no backlight, which results in an infinite contrast ratio and a wide viewing angle. OLED displays also have fast response times, wide color gamuts, and low power consumption. One of the greatest advantages of OLED displays is that various concept designs can be created by harnessing their flexibility and transparency. These aspects are significant differentiators and are important in virtual augmented reality devices and automotive displays. Consequently, the demand for organic semiconductor materials for panel production is rapidly increasing.
OLED is one of the most attractive display technologies and has several advantages. OLEDs can emit a wide range of colors and produce deep black levels because there is no backlight, which results in an infinite contrast ratio and a wide viewing angle. OLED displays also have fast response times, wide color gamuts, and low power consumption. One of the greatest advantages of OLED displays is that various concept designs can be created by harnessing their flexibility and transparency. These aspects are significant differentiators and are important in virtual augmented reality devices and automotive displays. Consequently, the demand for organic semiconductor materials for panel production is rapidly increasing.
OLED is one of the most attractive display technologies and has several advantages. OLEDs can emit a wide range of colors and produce deep black levels because there is no backlight, which results in an infinite contrast ratio and a wide viewing angle. OLED displays also have fast response times, wide color gamuts, and low power consumption. One of the greatest advantages of OLED displays is that various concept designs can be created by harnessing their flexibility and transparency. These aspects are significant differentiators and are important in virtual augmented reality devices and automotive displays. Consequently, the demand for organic semiconductor materials for panel production is rapidly increasing.
Stretchable displays are emerging as next-generation displays that can improve user experience with new form factors. Intrinsically stretchable TFTs based on organic semiconductor materials can implement stretchable backplanes with high resolution and high freedom, thereby serving as free-form platforms for display applications such as mobile, AR/VR, and automotive. Conjugated polymers, which are typical organic semiconductor materials, can transport charge carriers and generally have low moduli. Given the “soft” mechanical nature of these polymers, they offer significant advantages over inorganic semiconductors. Currently, we are developing and researching stretchable conjugated polymers that satisfy the demands on both mechanical and electrical properties required for stretchable TFTs. In addition, stretchable conjugated polymers are used as key materials for electronic skin that is in intimate contact with the human body, enabling the continuous and accurate monitoring of various biosignals.
Stretchable displays are emerging as next-generation displays that can improve user experience with new form factors. Intrinsically stretchable TFTs based on organic semiconductor materials can implement stretchable backplanes with high resolution and high freedom, thereby serving as free-form platforms for display applications such as mobile, AR/VR, and automotive. Conjugated polymers, which are typical organic semiconductor materials, can transport charge carriers and generally have low moduli. Given the “soft” mechanical nature of these polymers, they offer significant advantages over inorganic semiconductors. Currently, we are developing and researching stretchable conjugated polymers that satisfy the demands on both mechanical and electrical properties required for stretchable TFTs. In addition, stretchable conjugated polymers are used as key materials for electronic skin that is in intimate contact with the human body, enabling the continuous and accurate monitoring of various biosignals.
Stretchable displays are emerging as next-generation displays that can improve user experience with new form factors. Intrinsically stretchable TFTs based on organic semiconductor materials can implement stretchable backplanes with high resolution and high freedom, thereby serving as free-form platforms for display applications such as mobile, AR/VR, and automotive. Conjugated polymers, which are typical organic semiconductor materials, can transport charge carriers and generally have low moduli. Given the “soft” mechanical nature of these polymers, they offer significant advantages over inorganic semiconductors. Currently, we are developing and researching stretchable conjugated polymers that satisfy the demands on both mechanical and electrical properties required for stretchable TFTs. In addition, stretchable conjugated polymers are used as key materials for electronic skin that is in intimate contact with the human body, enabling the continuous and accurate monitoring of various biosignals.
SAIT is researching novel organic materials for use in OLED and stretchable backplanes. We are currently developing OLED materials with higher efficiencies, longer lifetimes, lower power consumption, and better color purity. Our ultimate goal is to develop next-generation OLED materials that will lead the future display industry. In addition, we are conducting research on free-form devices for displays and sensors by developing stretchable semiconductor materials. SAIT aims to change the future through the realization of a new era of organic electronics by developing the foundational technologies that will underpin the next generation of displays.
SAIT is researching novel organic materials for use in OLED and stretchable backplanes. We are currently developing OLED materials with higher efficiencies, longer lifetimes, lower power consumption, and better color purity. Our ultimate goal is to develop next-generation OLED materials that will lead the future display industry. In addition, we are conducting research on free-form devices for displays and sensors by developing stretchable semiconductor materials. SAIT aims to change the future through the realization of a new era of organic electronics by developing the foundational technologies that will underpin the next generation of displays.
SAIT is researching novel organic materials for use in OLED and stretchable backplanes. We are currently developing OLED materials with higher efficiencies, longer lifetimes, lower power consumption, and better color purity. Our ultimate goal is to develop next-generation OLED materials that will lead the future display industry. In addition, we are conducting research on free-form devices for displays and sensors by developing stretchable semiconductor materials. SAIT aims to change the future through the realization of a new era of organic electronics by developing the foundational technologies that will underpin the next generation of displays.
Miniaturized, high-efficiency self-emissive device designed to enhance user experience in future display technologies for AR/VR, wearables and automotive displays
Miniaturized, high-efficiency self-emissive device designed to enhance user experience in future display technologies for AR/VR, wearables and automotive displays
Miniaturized, high-efficiency self-emissive device designed to enhance user experience in future display technologies for AR/VR, wearables and automotive displays
Micro-LED is a very tiny light source, with a size much smaller than the diameter of a human hair, forming micro-sized pixels in advanced display systems. Producing Micro-LEDs involves more complicated processes and demands a greater amount of technology than traditional LED manufacturing. It means that hundreds of thousands of (or millions of) very small Micro-LED elements must be integrated while uniformly exhibiting the same brightness performance.
Micro-LED is a very tiny light source, with a size much smaller than the diameter of a human hair, forming micro-sized pixels in advanced display systems. Producing Micro-LEDs involves more complicated processes and demands a greater amount of technology than traditional LED manufacturing. It means that hundreds of thousands of (or millions of) very small Micro-LED elements must be integrated while uniformly exhibiting the same brightness performance.
Micro-LED is a very tiny light source, with a size much smaller than the diameter of a human hair, forming micro-sized pixels in advanced display systems. Producing Micro-LEDs involves more complicated processes and demands a greater amount of technology than traditional LED manufacturing. It means that hundreds of thousands of (or millions of) very small Micro-LED elements must be integrated while uniformly exhibiting the same brightness performance.
Micro-LED is an emerging display technology that offers outstanding luminance, ultra-fast response time, and superior power efficiency. These characteristics make it highly suitable for next-generation displays, including AR/VR systems, smartwatches, and TVs. Micro-LEDs enable high-resolution, flexible, and transparent display architectures that go beyond the limitations of conventional technologies. Their inherent scalability and device-level reliability open new possibilities for both consumer electronics and industrial applications. Our current development focuses on a full-color Micro-LED solution, encompassing epitaxial growth techniques and advanced fabrication methods to maximize efficiency. We are confident that Micro-LED will become the leading technology in the future of displays.
Micro-LED is an emerging display technology that offers outstanding luminance, ultra-fast response time, and superior power efficiency. These characteristics make it highly suitable for next-generation displays, including AR/VR systems, smartwatches, and TVs. Micro-LEDs enable high-resolution, flexible, and transparent display architectures that go beyond the limitations of conventional technologies. Their inherent scalability and device-level reliability open new possibilities for both consumer electronics and industrial applications. Our current development focuses on a full-color Micro-LED solution, encompassing epitaxial growth techniques and advanced fabrication methods to maximize efficiency. We are confident that Micro-LED will become the leading technology in the future of displays.
Micro-LED is an emerging display technology that offers outstanding luminance, ultra-fast response time, and superior power efficiency. These characteristics make it highly suitable for next-generation displays, including AR/VR systems, smartwatches, and TVs. Micro-LEDs enable high-resolution, flexible, and transparent display architectures that go beyond the limitations of conventional technologies. Their inherent scalability and device-level reliability open new possibilities for both consumer electronics and industrial applications. Our current development focuses on a full-color Micro-LED solution, encompassing epitaxial growth techniques and advanced fabrication methods to maximize efficiency. We are confident that Micro-LED will become the leading technology in the future of displays.
Future vehicles and mobile devices will require more compact and safer power sources. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to all-solid-state batteries and lithium metal batteries, pursuing innovations in energy density, safety, life, and cost. SAIT is developing novel materials to enable technologies that employ state-of-the-art computational methods and high-speed synthesis techniques.
Future vehicles and mobile devices will require more compact and safer power sources. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to all-solid-state batteries and lithium metal batteries, pursuing innovations in energy density, safety, life, and cost. SAIT is developing novel materials to enable technologies that employ state-of-the-art computational methods and high-speed synthesis techniques.
Future vehicles and mobile devices will require more compact and safer power sources. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to all-solid-state batteries and lithium metal batteries, pursuing innovations in energy density, safety, life, and cost. SAIT is developing novel materials to enable technologies that employ state-of-the-art computational methods and high-speed synthesis techniques.
The mobile devices of tomorrow will be smaller, more functional, and more wearable, enhancing people’s lives with new experiences. In particular, wearable devices will have many features, such as health monitoring, artificial intelligence (AI), and augmented reality (AR), and will come in a variety of forms, such as watches, glasses, and earphones. To supply reliable power to compact wearable devices, batteries should be smaller and safer and have a higher capacity. In addition, the market for small electronic devices requiring microbatteries, such as IoT devices, medical devices, radio frequency identification (RFID), and electronic cosmetics, is growing.
The mobile devices of tomorrow will be smaller, more functional, and more wearable, enhancing people’s lives with new experiences. In particular, wearable devices will have many features, such as health monitoring, artificial intelligence (AI), and augmented reality (AR), and will come in a variety of forms, such as watches, glasses, and earphones. To supply reliable power to compact wearable devices, batteries should be smaller and safer and have a higher capacity. In addition, the market for small electronic devices requiring microbatteries, such as IoT devices, medical devices, radio frequency identification (RFID), and electronic cosmetics, is growing.
The mobile devices of tomorrow will be smaller, more functional, and more wearable, enhancing people’s lives with new experiences. In particular, wearable devices will have many features, such as health monitoring, artificial intelligence (AI), and augmented reality (AR), and will come in a variety of forms, such as watches, glasses, and earphones. To supply reliable power to compact wearable devices, batteries should be smaller and safer and have a higher capacity. In addition, the market for small electronic devices requiring microbatteries, such as IoT devices, medical devices, radio frequency identification (RFID), and electronic cosmetics, is growing.
The importance of electric vehicles (EVs) for the efficient use of energy is increasing along with worldwide efforts to reduce greenhouse gas emissions and industrialize green energy. Batteries are the key technology for the success of the EV business. Innovative battery technologies can increase the driving range and reduce the cost of electric vehicles. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to next-generation high-capacity LIBs, all-solid-state batteries, and lithium-metal-based batteries, pursuing improvements in energy density, safety, and life, as well as reducing costs.
The importance of electric vehicles (EVs) for the efficient use of energy is increasing along with worldwide efforts to reduce greenhouse gas emissions and industrialize green energy. Batteries are the key technology for the success of the EV business. Innovative battery technologies can increase the driving range and reduce the cost of electric vehicles. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to next-generation high-capacity LIBs, all-solid-state batteries, and lithium-metal-based batteries, pursuing improvements in energy density, safety, and life, as well as reducing costs.
The importance of electric vehicles (EVs) for the efficient use of energy is increasing along with worldwide efforts to reduce greenhouse gas emissions and industrialize green energy. Batteries are the key technology for the success of the EV business. Innovative battery technologies can increase the driving range and reduce the cost of electric vehicles. Battery technology is expected to evolve from the current lithium-ion battery (LIB) to next-generation high-capacity LIBs, all-solid-state batteries, and lithium-metal-based batteries, pursuing improvements in energy density, safety, and life, as well as reducing costs.
Innovation in materials is the key to boosting the electromobility market. Key R&D trends include increasing energy density with new materials and developing multi-functional technologies. In recent years, it has become increasingly important to make batteries safer for use in EVs and mobile devices to mitigate the risk of fire.
Innovation in materials is the key to boosting the electromobility market. Key R&D trends include increasing energy density with new materials and developing multi-functional technologies. In recent years, it has become increasingly important to make batteries safer for use in EVs and mobile devices to mitigate the risk of fire.
Innovation in materials is the key to boosting the electromobility market. Key R&D trends include increasing energy density with new materials and developing multi-functional technologies. In recent years, it has become increasingly important to make batteries safer for use in EVs and mobile devices to mitigate the risk of fire.
SAIT is developing high-power, safe battery technologies with high-performance solid electrolytes and high-density electrodes to support the development of wearable devices that incorporate health monitoring, AI, and AR.
SAIT is developing high-power, safe battery technologies with high-performance solid electrolytes and high-density electrodes to support the development of wearable devices that incorporate health monitoring, AI, and AR.
SAIT is developing high-power, safe battery technologies with high-performance solid electrolytes and high-density electrodes to support the development of wearable devices that incorporate health monitoring, AI, and AR.
SAIT is actively researching post-Li-ion battery systems, such as all-solid-state batteries technologies, which will reduce the risk of explosion compared to Li-ion batteries and extend the driving range of EVs to that of internal combustion engine (ICE) vehicles. Currently, SAIT is researching new materials and cell designs for solid-state batteries, including anode-free structures. Novel sulfide- and oxide-based lithium-ion conductors, the interfaces adjacent to them, and the Li metal host structure are major areas of exploration.
SAIT is actively researching post-Li-ion battery systems, such as all-solid-state batteries technologies, which will reduce the risk of explosion compared to Li-ion batteries and extend the driving range of EVs to that of internal combustion engine (ICE) vehicles. Currently, SAIT is researching new materials and cell designs for solid-state batteries, including anode-free structures. Novel sulfide- and oxide-based lithium-ion conductors, the interfaces adjacent to them, and the Li metal host structure are major areas of exploration.
SAIT is actively researching post-Li-ion battery systems, such as all-solid-state batteries technologies, which will reduce the risk of explosion compared to Li-ion batteries and extend the driving range of EVs to that of internal combustion engine (ICE) vehicles. Currently, SAIT is researching new materials and cell designs for solid-state batteries, including anode-free structures. Novel sulfide- and oxide-based lithium-ion conductors, the interfaces adjacent to them, and the Li metal host structure are major areas of exploration.
In the pursuit of a sustainable future, the development of innovative environmental technologies is of paramount importance. At the forefront of this endeavor, SAIT is committed to creating eco-friendly source technologies that address critical environmental challenges, including air pollution, greenhouse gas emissions, and energy consumption. These solutions align with Samsung Electronics‘ commitment to ESG management and to fostering a cleaner and more sustainable world.
In the pursuit of a sustainable future, the development of innovative environmental technologies is of paramount importance. At the forefront of this endeavor, SAIT is committed to creating eco-friendly source technologies that address critical environmental challenges, including air pollution, greenhouse gas emissions, and energy consumption. These solutions align with Samsung Electronics‘ commitment to ESG management and to fostering a cleaner and more sustainable world.
In the pursuit of a sustainable future, the development of innovative environmental technologies is of paramount importance. At the forefront of this endeavor, SAIT is committed to creating eco-friendly source technologies that address critical environmental challenges, including air pollution, greenhouse gas emissions, and energy consumption. These solutions align with Samsung Electronics‘ commitment to ESG management and to fostering a cleaner and more sustainable world.
Currently, air pollution reduction technologies are imperative for tackling global environmental challenges, including air quality degradation and climate change, and for ensuring the sustainable advancement of national industries. Advanced systems like filtration units, scrubbers, and catalytic converters are being deployed; however, these technologies face significant obstacles related to efficiency, technical reliability, and cost-effectiveness.
Currently, air pollution reduction technologies are imperative for tackling global environmental challenges, including air quality degradation and climate change, and for ensuring the sustainable advancement of national industries. Advanced systems like filtration units, scrubbers, and catalytic converters are being deployed; however, these technologies face significant obstacles related to efficiency, technical reliability, and cost-effectiveness.
Currently, air pollution reduction technologies are imperative for tackling global environmental challenges, including air quality degradation and climate change, and for ensuring the sustainable advancement of national industries. Advanced systems like filtration units, scrubbers, and catalytic converters are being deployed; however, these technologies face significant obstacles related to efficiency, technical reliability, and cost-effectiveness.
Particulate matter (PMs), especially particles smaller than 2.5㎛, and precursor gases have detrimental effects on public health and semiconductor manufacturing processes. Additionally, as semiconductor circuits become smaller and more complex, managing airborne molecular contamination (AMC), which causes defects during manufacturing, is crucial for new semiconductor manufacturing facilities.
Therefore, we aim to identify the critical issues of PMs and AMCs to provide technical solutions for society and boost business competitiveness. We are conducting research on (1) developing advanced air purification technologies to improve the surrounding air quality, (2) the formation of secondary particles from emission sources, and (3) AMC dispersion simulation to facilitate its prompt identification with Al techniques at a semiconductor FAB.
Particulate matter (PMs), especially particles smaller than 2.5㎛, and precursor gases have detrimental effects on public health and semiconductor manufacturing processes. Additionally, as semiconductor circuits become smaller and more complex, managing airborne molecular contamination (AMC), which causes defects during manufacturing, is crucial for new semiconductor manufacturing facilities.
Therefore, we aim to identify the critical issues of PMs and AMCs to provide technical solutions for society and boost business competitiveness. We are conducting research on (1) developing advanced air purification technologies to improve the surrounding air quality, (2) the formation of secondary particles from emission sources, and (3) AMC dispersion simulation to facilitate its prompt identification with Al techniques at a semiconductor FAB.
Particulate matter (PMs), especially particles smaller than 2.5㎛, and precursor gases have detrimental effects on public health and semiconductor manufacturing processes. Additionally, as semiconductor circuits become smaller and more complex, managing airborne molecular contamination (AMC), which causes defects during manufacturing, is crucial for new semiconductor manufacturing facilities.
Therefore, we aim to identify the critical issues of PMs and AMCs to provide technical solutions for society and boost business competitiveness. We are conducting research on (1) developing advanced air purification technologies to improve the surrounding air quality, (2) the formation of secondary particles from emission sources, and (3) AMC dispersion simulation to facilitate its prompt identification with Al techniques at a semiconductor FAB.
Since Samsung Electronics announced New Environmental Strategy in 2022, ASRC is dedicated to advancing technologies that efficiently decompose and treat key pollutants, including nitrogen oxides (NOx) and total hydrocarbons (THCs) as FAB emissions, as well as perfluorocarbons (PFCs) and nitrous oxide (N2O), which are significant greenhouse gases emitted by semiconductor manufacturing facilities.
Based on our expertise in high-performance catalysts, chemical reaction systems, and low-power plasma technology, we are committed to advancing our environmental management practices. By developing and deploying innovative energy-efficient technologies that integrate these core competencies, we aim to implement them at FAB sites, thereby contributing to sustainable industrial operations.
Since Samsung Electronics announced New Environmental Strategy in 2022, ASRC is dedicated to advancing technologies that efficiently decompose and treat key pollutants, including nitrogen oxides (NOx) and total hydrocarbons (THCs) as FAB emissions, as well as perfluorocarbons (PFCs) and nitrous oxide (N2O), which are significant greenhouse gases emitted by semiconductor manufacturing facilities.
Based on our expertise in high-performance catalysts, chemical reaction systems, and low-power plasma technology, we are committed to advancing our environmental management practices. By developing and deploying innovative energy-efficient technologies that integrate these core competencies, we aim to implement them at FAB sites, thereby contributing to sustainable industrial operations.
Since Samsung Electronics announced New Environmental Strategy in 2022, ASRC is dedicated to advancing technologies that efficiently decompose and treat key pollutants, including nitrogen oxides (NOx) and total hydrocarbons (THCs) as FAB emissions, as well as perfluorocarbons (PFCs) and nitrous oxide (N2O), which are significant greenhouse gases emitted by semiconductor manufacturing facilities.
Based on our expertise in high-performance catalysts, chemical reaction systems, and low-power plasma technology, we are committed to advancing our environmental management practices. By developing and deploying innovative energy-efficient technologies that integrate these core competencies, we aim to implement them at FAB sites, thereby contributing to sustainable industrial operations.
Carbon dioxide (CO2) concentration in the atmosphere has significantly increased due to human social activities. To relieve those concerns, diverse efforts to reduce CO2 emission have been made in all sectors of society. Carbon capture has been studied extensively as a technology to reduce carbon dioxide directly. Technologies such as absorption, adsorption and membranes have been studied mainly in academia, but the development of more effective and energy intensive technologies is necessary for sustainable future.
In addition to the point-source CO2 capture technology deploying the large scale negative emissions technologies is vital.
SAIT puts efforts, in materials and engineering perspectives, not only on the stationary CO2 capture but also on directly capturing CO2 from ambient air or direct air capture.
Meanwhile, post-treatment of captured CO2 is also important for generating a closed-loop of carbon; either utilization into value-added products or permanent storage. SAIT also paves a way for effective CO2 utilization with catalysts and electrochemical systems.
Carbon dioxide (CO2) concentration in the atmosphere has significantly increased due to human social activities. To relieve those concerns, diverse efforts to reduce CO2 emission have been made in all sectors of society. Carbon capture has been studied extensively as a technology to reduce carbon dioxide directly. Technologies such as absorption, adsorption and membranes have been studied mainly in academia, but the development of more effective and energy intensive technologies is necessary for sustainable future.
In addition to the point-source CO2 capture technology deploying the large scale negative emissions technologies is vital.
SAIT puts efforts, in materials and engineering perspectives, not only on the stationary CO2 capture but also on directly capturing CO2 from ambient air or direct air capture.
Meanwhile, post-treatment of captured CO2 is also important for generating a closed-loop of carbon; either utilization into value-added products or permanent storage. SAIT also paves a way for effective CO2 utilization with catalysts and electrochemical systems.
Carbon dioxide (CO2) concentration in the atmosphere has significantly increased due to human social activities. To relieve those concerns, diverse efforts to reduce CO2 emission have been made in all sectors of society. Carbon capture has been studied extensively as a technology to reduce carbon dioxide directly. Technologies such as absorption, adsorption and membranes have been studied mainly in academia, but the development of more effective and energy intensive technologies is necessary for sustainable future.
In addition to the point-source CO2 capture technology deploying the large scale negative emissions technologies is vital.
SAIT puts efforts, in materials and engineering perspectives, not only on the stationary CO2 capture but also on directly capturing CO2 from ambient air or direct air capture.
Meanwhile, post-treatment of captured CO2 is also important for generating a closed-loop of carbon; either utilization into value-added products or permanent storage. SAIT also paves a way for effective CO2 utilization with catalysts and electrochemical systems.
To mimic human olfaction, state-of-the-art technical innovations are currently being applied, such as materials that are sensitive and selective to various odors, sensor arrays, interface ICs, signal-processing blocks, and artificial neural networks (ANN) or neuromorphic classifiers.
We aim to integrate all the related technologies for olfactory sensing. This includes developing materials that provide the beginning of a signal change in response to odor molecules, developing sensitive transducers, designing dedicated read-out ICs that digitize the analog responses of sensors, and preprocessing that removes unwanted signals. Using hundreds of multiarray sensors where all of these core technologies are integrated, we are aiming to enable affordable, robust odor recognition devices for commercial applications.
This miniaturized olfactory sensor can make our lives safer by detecting our surroundings more accurately. Beyond the level of human olfaction, we ultimately want to benefit the world by innovating conventional disease diagnostic technologies.
To mimic human olfaction, state-of-the-art technical innovations are currently being applied, such as materials that are sensitive and selective to various odors, sensor arrays, interface ICs, signal-processing blocks, and artificial neural networks (ANN) or neuromorphic classifiers.
We aim to integrate all the related technologies for olfactory sensing. This includes developing materials that provide the beginning of a signal change in response to odor molecules, developing sensitive transducers, designing dedicated read-out ICs that digitize the analog responses of sensors, and preprocessing that removes unwanted signals. Using hundreds of multiarray sensors where all of these core technologies are integrated, we are aiming to enable affordable, robust odor recognition devices for commercial applications.
This miniaturized olfactory sensor can make our lives safer by detecting our surroundings more accurately. Beyond the level of human olfaction, we ultimately want to benefit the world by innovating conventional disease diagnostic technologies.
To mimic human olfaction, state-of-the-art technical innovations are currently being applied, such as materials that are sensitive and selective to various odors, sensor arrays, interface ICs, signal-processing blocks, and artificial neural networks (ANN) or neuromorphic classifiers.
We aim to integrate all the related technologies for olfactory sensing. This includes developing materials that provide the beginning of a signal change in response to odor molecules, developing sensitive transducers, designing dedicated read-out ICs that digitize the analog responses of sensors, and preprocessing that removes unwanted signals. Using hundreds of multiarray sensors where all of these core technologies are integrated, we are aiming to enable affordable, robust odor recognition devices for commercial applications.
This miniaturized olfactory sensor can make our lives safer by detecting our surroundings more accurately. Beyond the level of human olfaction, we ultimately want to benefit the world by innovating conventional disease diagnostic technologies.
The global transition to sustainable economies relies heavily on the adoption of green energy such as clean fuels (green hydrogen or e-fuels) produced electrochemically using renewable energy sources without carbon dioxide emissions. Green hydrogen refers to hydrogen produced by electrolyzing water using renewable electricity, and can be used for e-fuel production with green CO from direct-air captured CO2 electrolysis.
We are researching new core technologies to cover the entire green energy value chain from production, storage, and transport to applications for successful commercialization. We are developing solutions for viable green energy by focusing on material design, electrode microstructure/ interface engineering, and the control of thermoelectric reaction kinetics to drive the sustainable green energy economy forward.
The global transition to sustainable economies relies heavily on the adoption of green energy such as clean fuels (green hydrogen or e-fuels) produced electrochemically using renewable energy sources without carbon dioxide emissions. Green hydrogen refers to hydrogen produced by electrolyzing water using renewable electricity, and can be used for e-fuel production with green CO from direct-air captured CO2 electrolysis.
We are researching new core technologies to cover the entire green energy value chain from production, storage, and transport to applications for successful commercialization. We are developing solutions for viable green energy by focusing on material design, electrode microstructure/ interface engineering, and the control of thermoelectric reaction kinetics to drive the sustainable green energy economy forward.
The global transition to sustainable economies relies heavily on the adoption of green energy such as clean fuels (green hydrogen or e-fuels) produced electrochemically using renewable energy sources without carbon dioxide emissions. Green hydrogen refers to hydrogen produced by electrolyzing water using renewable electricity, and can be used for e-fuel production with green CO from direct-air captured CO2 electrolysis.
We are researching new core technologies to cover the entire green energy value chain from production, storage, and transport to applications for successful commercialization. We are developing solutions for viable green energy by focusing on material design, electrode microstructure/ interface engineering, and the control of thermoelectric reaction kinetics to drive the sustainable green energy economy forward.
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