Antiferromagnetic (AFM) materials, with their atomic-scale alternating magnetic moment distribution, are ideal candidates for ...

"Our work paves the way for reliable, scalable neuromorphic computing using purely electrical control," said Prof. Chi-Feng Pai. More information: Tzu‐Chuan Hsin et al, All‐Electrical Control ...

Their integrated memory and computing capabilities mimic the human brain, and they can serve as a building block for lower-power AI chips. Now, researchers at Tohoku University, National Institute for ...

Professor Shinhyun Choi's team in the School of Electrical Engineering published a paper in Nature on the development of a next-generation ultra-low-power Phase Change Memory device that can ...