神经形态工程学
记忆电阻器
材料科学
计算机科学
铁电性
终端(电信)
光电子学
非易失性存储器
人工神经网络
电子工程
人工智能
工程类
电信
电介质
作者
Fei Xue,Xin He,Zhenyu Wang,José Ramón Durán Retamal,Zheng Chai,Lingling Jing,Chenhui Zhang,Hui Fang,Yang Chai,Tao Jiang,Weidong Zhang,Husam Niman Alshareef,Zhigang Ji,Lain‐Jong Li,Jr‐Hau He,Xixiang Zhang
标识
DOI:10.1002/adma.202008709
摘要
Abstract Ferroelectrics have been demonstrated as excellent building blocks for high‐performance nonvolatile memories, including memristors, which play critical roles in the hardware implementation of artificial synapses and in‐memory computing. Here, it is reported that the emerging van der Waals ferroelectric α‐In2Se3 can be used to successfully implement heterosynaptic plasticity (a fundamental but rarely emulated synaptic form) and achieve a resistance‐switching ratio of heterosynaptic memristors above 103, which is two orders of magnitude larger than that in other similar devices. The polarization change of ferroelectric α‐In2Se3 channel is responsible for the resistance switching at various paired terminals. The third terminal of α‐In2Se3 memristors exhibits nonvolatile control over channel current at a picoampere level, endowing the devices with picojoule read‐energy consumption to emulate the associative heterosynaptic learning. The simulation proves that both supervised and unsupervised learning manners can be implemented in α‐In2Se3 neutral networks with high image recognition accuracy. Moreover, these heterosynaptic devices can naturally realize Boolean logic without an additional circuit component. The results suggest that van der Waals ferroelectrics hold great potential for applications in complex, energy‐efficient, brain‐inspired computing systems and logic‐in‐memory computers.
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