A Reconfigurable Optoelectronic Synaptic Transistor with Stable Zr‐CsPbI3 Nanocrystals for Visuomorphic Computing

Author:

Shao He1,Li Yueqing1,Yang Wei1,He Xiang1,Wang Le1,Fu Jingwei1,Fu Mingyang1,Ling Haifeng12,Gkoupidenis Paschalis2,Yan Feng3,Xie Linghai1,Huang Wei14ORCID

Affiliation:

1. State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM) Nanjing University of Posts & Telecommunications (NJUPT) Nanjing 210023 P. R. China

2. Department of Molecular Electronics Max Planck Institute for Polymer Research 55128 Mainz Germany

3. Department of Applied Physics Hong Kong Polytechnic University Kowloon Hong Kong 999077 P. R. China

4. Frontiers Science Center for Flexible Electronics (FSCFE) MIIT Key Laboratory of Flexible Electronics (KLoFE) Northwestern Polytechnical University (NPU) 127 West Youyi Road Xi'an 710072 P. R. China

Abstract

AbstractReconfigurable phototransistor memory attracts considerable attention for adaptive visuomorphic computing, with highly efficient sensing, memory, and processing functions integrated onto a single device. However, developing reconfigurable phototransistor memory remains a challenge due to the lack of an all‐optically controlled transition between short‐term plasticity (STP) and long‐term plasticity (LTP). Herein, an air‐stable Zr‐CsPbI3 perovskite nanocrystal (PNC)‐based phototransistor memory is designed, which is capable of broadband photoresponses. Benefitting from the different electron capture ability of Zr‐CsPbI3 PNCs to 650 and 405 nm light, an artificial synapse and non‐volatile memory can be created on‐demand and quickly reconfigured within a single device for specific purposes. Owing to the optically reconfigurable and wavelength‐aware operation between STP and LTP modes, the integrated blue feature extraction and target recognition can be demonstrated in a homogeneous neuromorphic vision sensor array. This work suggests a new way in developing perovskite optoelectronic transistors for highly efficient in‐sensor computing.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

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