Spin–Orbit Torque‐Induced Domain Nucleation for Neuromorphic Computing

• Published in: Advanced materials (Weinheim) Vol. 33; no. 36; pp. e2103672 - n/a
• Main Authors: Zhou, Jing, Zhao, Tieyang, Shu, Xinyu, Liu, Liang, Lin, Weinan, Chen, Shaohai, Shi, Shu, Yan, Xiaobing, Liu, Xiaogang, Chen, Jingsheng
• Format: Journal Article
• Language: English
• Published: Germany Wiley Subscription Services, Inc 01.09.2021
• Subjects: Algorithms; Artificial intelligence; Artificial neural networks; Cobalt - chemistry; Cobalt base alloys; Cobalt compounds; Cognitive tasks; Computer Simulation; Computer Systems; Copper - chemistry; crystal symmetry; Deep Learning; deep learning network; domain nucleation; Hardware; Intermetallic compounds; Magnetic domains; Magnetization reversal; Materials science; Neural networks; Neural Networks, Computer; Neuromorphic computing; Neurons; Nucleation; Platinum - chemistry; Platinum compounds; spin–orbit torques; Torque; crystal symmetry; spin-orbit torques; domain nucleation; deep learning network; neuromorphic computing

Neuromorphic computing has become an increasingly popular approach for artificial intelligence because it can perform cognitive tasks more efficiently than conventional computers. However, it remains challenging to develop dedicated hardware for artificial neural networks. Here, a simple bilayer spi...