An artificial synapse by superlattice-like phase-change material for low-power brain-inspired computing

• 作者: Boyi Dong Enming Huang Hao Tong Lun Wang Ming Xu Qing Hu Xiangshui Miao Yuhui He
• 来源期刊: 中国物理B（英文版）
• 关键词: superlattice-like phase-change material artificial synapse low-power consumption
• 年，卷（期）: 2020,（7）
• 页码范围: 52-58
• 页数: 7页
• 语种: 英文
• DOI: 10.1088/1674-1056/ab892a

摘要

Phase-change material (PCM) is generating widespread interest as a new candidate for artificial synapses in bioinspired computer systems.However,the amorphization process of PCM devices tends to be abrupt,unlike continuous synaptic depression.The relatively large power consumption and poor analog behavior of PCM devices greatly limit their applications.Here,we fabricate a GeTe/Sb2Te3 superlattice-like PCM device which allows a progressive RESET process.Our devices feature low-power consumption operation and potential high-density integration,which can effectively simulate biological synaptic characteristics.The programming energy can be further reduced by properly selecting the resistance range and operating method.The fabricated devices are implemented in both artificial neural networks (ANN)and convolutional neural network (CNN) simulations,demonstrating high accuracy in brain-like pattern recognition.