
JPhys Materials特刊征稿|聚焦神经形态计算的材料和设备
特刊详情 客座编辑 杨玉超,北京大学 唐建石,清华大学 朱小健,中国科学院宁波材料技术与工程研究所 Yiyang Li,美国密歇根大学 主题范围 Neuromorphic materials and devices that emulate the critical components and functions in biological neural networks Inspired by human brain, neuromorphic computing emerges as a promising paradigm to break the von Neumann bottleneck and enable energy-efficient information processing using electronic devices that emulate the critical components and functions...