2 Sources
[1]
Scientists turn spin loss into energy, unlocking ultra-low-power AI chips
Dr. Dong-Soo Han's research team at the Korea Institute of Science and Technology (KIST) Semiconductor Technology Research Center, in collaboration with the research teams of Prof. Jung-Il Hong at DGIST and Prof. Kyung-Hwan Kim at Yonsei University, has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. Spintronics is a technology that utilizes the "spin" property of electrons to store and control information, and it is being recognized as a key foundation for next-generation information processing technologies such as ultra-low-power memory, neuromorphic chips, and computational devices for stochastic computation, as it consumes less power and is more non-volatile than conventional semiconductors. This research is significant because it presents a new approach that can significantly improve the efficiency of these spintronics devices. A team of researchers has identified a new physical phenomenon that allows magnetic materials to spontaneously switch their internal magnetization direction without external stimuli. Magnetic materials are key to the next generation of information processing devices that store information or perform computations by changing the direction of their internal magnetization. For example, if the magnetization direction is upward, it is recognized as '1', and if it is downward, it is recognized as '0', and data can be stored or computed. Traditionally, to reverse the direction of magnetization, a large current is applied to force the spin of electrons into the magnet. However, this process results in spin loss, where some of the spin does not reach the magnet and is dissipated, which has been considered a major source of power waste and poor efficiency. Researchers have focused on material design and process improvements to reduce spin loss. But now, the team has found that spin loss actually has the opposite effect, altering magnetization. This means that spin loss induces a spontaneous magnetization switch within the magnetic material, just as the balloon moves as a reaction to the wind being taken out of it. In their experiments, the team demonstrated the paradox that the greater the spin loss, the less power is required to switch magnetization. As a result, the energy efficiency is up to three times higher than conventional methods, and it can be realized without special materials or complex device structures, making it highly practical and industrially scalable. In addition, the technology adopts a simple device structure that is compatible with existing semiconductor processes, making it highly feasible for mass production, and it is also advantageous for miniaturization and high integration. This enables applications in various fields such as AI semiconductors, ultra-low power memory, neuromorphic computing, and probability-based computing devices. In particular, the development of high-efficiency computing devices for AI and edge computing is expected to be in full swing. "Until now, the field of spintronics has focused only on reducing spin losses, but we have presented a new direction by using the losses as energy to induce magnetization switching," said Dr. Dong-Soo Han, a senior researcher at KIST. "We plan to actively develop ultra-small and low-power AI semiconductor devices, as they can serve as the basis for ultra-low-power computing technologies that are essential in the AI era." This research was supported by the Ministry of Science and ICT (Minister Bae Kyung-hoon) through the KIST Institutional Program, the Global TOP Research and Development Project (GTL24041-000), and the Basic Research Project of the National Research Foundation of Korea (2020R1A2C2005932). The results of this research were published in the latest issue of the international journal Nature Communications (IF 15.7, JCR field 7%).
[2]
"Turning Spin Loss into Energy", Developing a Key Technology for Ultra-Low Power Next-Generation Information Devices | Newswise
Newswise -- Dr. Dong-Soo Han's research team at the Korea Institute of Science and Technology (KIST) Semiconductor Technology Research Center, in collaboration with the research teams of Prof. Jung-Il Hong at DGIST and Prof. Kyung-Hwan Kim at Yonsei University, has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. Spintronics is a technology that utilizes the "spin" property of electrons to store and control information, and it is being recognized as a key foundation for next-generation information processing technologies such as ultra-low-power memory, neuromorphic chips, and computational devices for stochastic computation, as it consumes less power and is more non-volatile than conventional semiconductors. This research is significant because it presents a new approach that can significantly improve the efficiency of these spintronics devices. A team of researchers has identified a new physical phenomenon that allows magnetic materials to spontaneously switch their internal magnetization direction without external stimuli. Magnetic materials are key to the next generation of information processing devices that store information or perform computations by changing the direction of their internal magnetization. For example, if the magnetization direction is upward, it is recognized as '1', and if it is downward, it is recognized as '0', and data can be stored or computed. Traditionally, to reverse the direction of magnetization, a large current is applied to force the spin of electrons into the magnet. However, this process results in spin loss, where some of the spin does not reach the magnet and is dissipated, which has been considered a major source of power waste and poor efficiency. Researchers have focused on material design and process improvements to reduce spin loss. But now, the team has found that spin loss actually has the opposite effect, altering magnetization. This means that spin loss induces a spontaneous magnetization switch within the magnetic material, just as the balloon moves as a reaction to the wind being taken out of it. In their experiments, the team demonstrated the paradox that the greater the spin loss, the less power is required to switch magnetization. As a result, the energy efficiency is up to three times higher than conventional methods, and it can be realized without special materials or complex device structures, making it highly practical and industrially scalable. In addition, the technology adopts a simple device structure that is compatible with existing semiconductor processes, making it highly feasible for mass production, and it is also advantageous for miniaturization and high integration. This enables applications in various fields such as AI semiconductors, ultra-low power memory, neuromorphic computing, and probability-based computing devices. In particular, the development of high-efficiency computing devices for AI and edge computing is expected to be in full swing. "Until now, the field of spintronics has focused only on reducing spin losses, but we have presented a new direction by using the losses as energy to induce magnetization switching," said Dr. Dong-Soo Han, a senior researcher at KIST. "We plan to actively develop ultra-small and low-power AI semiconductor devices, as they can serve as the basis for ultra-low-power computing technologies that are essential in the AI era." ### KIST was established in 1966 as the first government-funded research institute in Korea. KIST now strives to solve national and social challenges and secure growth engines through leading and innovative research. For more information, please visit KIST's website at https://www.kist.re.kr/eng/index.do This research was supported by the Ministry of Science and ICT (Minister Bae Kyung-hoon) through the KIST Institutional Program, the Global TOP Research and Development Project (GTL24041-000), and the Basic Research Project of the National Research Foundation of Korea (2020R1A2C2005932). The results of this research were published in the latest issue of the international journal Nature Communications (IF 15.7, JCR field 7%).
Share
Copy Link
Scientists at KIST have developed a new device principle that utilizes "spin loss" as a power source for magnetic control, potentially revolutionizing the field of spintronics and paving the way for ultra-low-power AI chips.
In a groundbreaking development, researchers have discovered a way to utilize "spin loss" as a new power source for magnetic control in spintronics devices. This innovative approach, developed by Dr. Dong-Soo Han's team at the Korea Institute of Science and Technology (KIST) Semiconductor Technology Research Center, in collaboration with researchers from DGIST and Yonsei University, promises to significantly enhance the efficiency of next-generation information processing technologies 12.
Spintronics, a technology that leverages the "spin" property of electrons for information storage and control, has been recognized as a cornerstone for future ultra-low-power computing devices. Traditionally, scientists focused on reducing spin loss, considering it a source of power waste and inefficiency. However, this research team has uncovered a paradoxical phenomenon: spin loss can actually induce spontaneous magnetization switching within magnetic materials 1.
Dr. Han explains, "Until now, the field of spintronics has focused only on reducing spin losses, but we have presented a new direction by using the losses as energy to induce magnetization switching" 2.
Source: newswise
The team's experiments revealed a counterintuitive result: the greater the spin loss, the less power required to switch magnetization. This discovery leads to energy efficiency up to three times higher than conventional methods. Moreover, this principle can be implemented without special materials or complex device structures, making it highly practical and scalable for industrial applications 12.
This technological breakthrough has far-reaching implications for various fields, including:
Source: ScienceDaily
The simple device structure, compatible with existing semiconductor processes, makes it feasible for mass production and advantageous for miniaturization and high integration. This development is expected to accelerate the creation of high-efficiency computing devices for AI and edge computing 12.
The research team plans to actively develop ultra-small and low-power AI semiconductor devices based on this new principle. "We plan to actively develop ultra-small and low-power AI semiconductor devices, as they can serve as the basis for ultra-low-power computing technologies that are essential in the AI era," stated Dr. Han 2.
This research, supported by the Ministry of Science and ICT through various programs and projects, has been published in the prestigious journal Nature Communications, underscoring its significance in the scientific community 12.
As the world moves towards more energy-efficient and powerful computing solutions, this breakthrough in spintronics could play a crucial role in shaping the future of AI and information processing technologies. The ability to harness what was once considered waste into a valuable energy source marks a paradigm shift in the field, opening up new possibilities for ultra-low-power, high-performance computing devices.
Elon Musk's AI company xAI has open-sourced the Grok 2.5 model on Hugging Face, making it available for developers to access and explore. Musk also announced plans to open-source Grok 3 in about six months, signaling a commitment to transparency and innovation in AI development.
7 Sources
Technology
19 hrs ago
7 Sources
Technology
19 hrs ago
Nvidia announces plans to implement silicon photonics and co-packaged optics for AI GPU communication by 2026, promising higher transfer rates and lower power consumption in next-gen AI data centers.
2 Sources
Technology
3 hrs ago
2 Sources
Technology
3 hrs ago
Netflix has released new guidelines for using generative AI in content production, outlining low-risk and high-risk scenarios and emphasizing responsible use while addressing industry concerns.
2 Sources
Technology
3 hrs ago
2 Sources
Technology
3 hrs ago
Cloudflare introduces new features for its Cloudflare One zero-trust platform, aimed at helping organizations securely adopt, build, and deploy generative AI applications while maintaining security and privacy standards.
2 Sources
Technology
3 hrs ago
2 Sources
Technology
3 hrs ago
SK hynix has begun mass production of the world's first 321-layer QLC NAND flash, doubling storage capacity and improving performance. This breakthrough addresses the growing storage demands of AI and data centers while enhancing efficiency.
3 Sources
Technology
3 hrs ago
3 Sources
Technology
3 hrs ago