Jiaqi Chen, Xingqiang Liu, Chang Liu, Lin Tang, Tong Bu, Bei Jiang, Yahui Qing, Yulu Xie, Yong Wang, Yongtao Shan, Ruxin Li, Cong Ye, Lei Liao
Artificial synapses and bionic neurons offer great potential in highly efficient computing paradigms. However, complex requirements for specific electronic devices in neuromorphic computing have made memristors face the challenge of process simplification and universality. Herein, reconfigurable Ag/HfO2 /NiO/Pt memristors are designed for feasible switching between volatile and nonvolatile modes by compliance current controlled Ag filaments, which enables stable and reconfigurable synaptic and neuronal functions...
April 22, 2024: Nano Letters