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

He Shao, Yueqing Li, Wei Yang, Xiang He, Le Wang, Jingwei Fu, Mingyang Fu, Haifeng Ling, Paschalis Gkoupidenis, Feng Yan, Linghai Xie, Wei Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

47 Citations (Scopus)


Reconfigurable 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.

Original languageEnglish
Article number2208497
JournalAdvanced Materials
Issue number12
Publication statusPublished - 9 Jan 2023


  • artificial retinas
  • in-sensor computing
  • perovskite nanocrystals
  • phototransistor memory
  • reconfigurable electronics

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering


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