Ionoelastomer Synapses With Configurable Synaptic Plasticity
Abstract
Abstract An organic heterostructure, composed of an ionoelastomer that comprises polycationic chains and mobile anions, and a semiconducting polymer, forms a new class of artificial synapses. These ionoelastomer synapses update their synaptic weights by modifying device conductance through the spatial redistribution of anions in response to electrical stimuli. The memory effect of these synapses is highly dependent on the specific anion species present, providing a unique means to modulate synaptic plasticity simply through anion selection. The continuously programmable and nonvolatile states of the selected ionoelastomer synapse are harnessed to emulate a soft neural network and perform the handwritten digit and fashion image recognition tasks, which achieve high recognition accuracies comparable to ideal numeric model but only using 16 discrete device states.
Article Details
Authors (9)
Sijie Zheng
Zhong‐Da Zhang
State Key Laboratory of Bioinspired Interfacial Materials Science Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou 215123 China
Xiaowei Wang
Xiuyang Zou
School of Chemistry and Chemical Engineering Huaiyin Normal University Huaian China
Ziyang Liu
Qingning Li
Jiangsu Engineering Laboratory of Novel Functional Polymeric Materials, Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Suzhou Key Laboratory of Soft Material and New Energy, College of Chemistry, Chemical Engineering and Materials Science, Soochow University
Ya‐Nan Zhong
State Key Laboratory of Bioinspired Interfacial Materials Science Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou 215123 China
Sui‐Dong Wang
State Key Laboratory of Bioinspired Interfacial Materials Science Institute of Functional Nano and Soft Materials (FUNSOM) Soochow University Suzhou 215123 China
Feng Yan
Materials Science and Engineering Program, School for Engineering of Matter, Transport and Energy