
Solution‐Processed Polymer Thin‐Film Memristors with an Electrochromic Feature and Frequency‐Dependent Synaptic Plasticity
Author(s) -
Feng Yang,
Gao Xu,
Zhong Ya-Nan,
Wu Jia-Ling,
Xu Jian-Long,
Wang Sui-Dong
Publication year - 2019
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.201900022
Subject(s) - neuromorphic engineering , memristor , materials science , electrochromism , emulation , thin film , optoelectronics , nanotechnology , bilayer , polymer , computer science , electronic engineering , electrode , membrane , composite material , chemistry , artificial intelligence , artificial neural network , engineering , biochemistry , economics , economic growth
Emerging organic synaptic devices are promising in exploring soft and biocompatible neuromorphic computing systems. By means of a simple and low‐cost solution process, the polymer thin‐film memristors are designed and characterized. The polymer memristors have a bilayer structure composed of an ion‐rich semiconducting layer and an ion‐collecting conducting layer, where the ion redistribution depending on device operation history has an impact on carrier concentration and results in the memristive characteristics. A visible electrochromic feature is observed during the electrical measurements, supporting the proposed Li + ion drift/diffusion mechanism. The polymer memristors show the continuous and reversible conductivity tuning with a temporary memory effect, which enables the successful emulation of the frequency‐dependent synaptic plasticity. The polymer thin‐film memristors may offer a strategy for developing building blocks of organic neuromorphic circuits.