材料科学
记忆电阻器
异质结
神经形态工程学
长时程增强
光电子学
纳米技术
人工神经网络
计算机科学
电子工程
化学
人工智能
生物化学
工程类
受体
作者
Nan He,Fan Ye,Jun Liu,Tianlong Sun,Xinpeng Wang,Wenjie Hou,Weijing Shao,Xiang Wan,Yi Tong,Feng Xu,Yang Sheng
标识
DOI:10.1002/aelm.202201038
摘要
Abstract Lead‐free all‐inorganic Cs 3 Cu 2 Cl 5 perovskites, a member of the metal‐metal halide material family, have attracted pronounced attention owing to their low toxicity, facile fabrication strategies, considerable ambient stability, and intriguing photoelectric properties. However, the application of environmentally friendly copper‐based Cs 3 Cu 2 Cl 5 in memristors has been rarely reported to the authors’ knowledge. Herein, multifunctional memristors with the coexistence of non‐volatile memory (MS) and volatile threshold switching (TS) behaviors are introduced based on an innovative Ag–In–Zn–S/Cs 3 Cu 2 Cl 5 heterostructure. The inserted Ag–In–Zn–S quantum dots layer may provide an effective method for guiding the formation of the dominant metallic Ag filaments, resulting in considerably stable and controllable multiple switching behaviors. Additionally, the heterostructure memristor is capable of imitating some essential biological synaptic functions, including long‐term potentiation (LTP), long‐term depression (LTD), and the short‐term memory (STM) to long‐term memory (LTM) transition. Furthermore, the famous conditioning Pavlov's dog experiment corresponding to associative learning is electronically simulated by the studied device. Moreover, utilizing the devices’ LTP and LTD properties, relatively high recognition accuracies for small and large digits datasets are achieved through a three‐layer artificial neural network, revealing the feasibility of implementing neuromorphic computation using heterostructure memristors.
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