Flexible optoelectronic memristor with photo-enhanced resistive switching for low-light visual perception

Z Ziwei Yue (Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,) S Siyu Zhao (College of Chemistry, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, P.R. China) Y Yuchun Li L Lingzhi Tang (Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,) S Shuxia Ren (Hebei Provincial Engineering Research Center for Metamaterials and Micro-Devices, School of Materials Science and Engineering, Shijiazhuang Tiedao University 2 , Shijiazhuang 050043,) J Jingjuan Wang (New Cornerstone Science Laboratory, State Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, and National & Local Joint Engineering Research Center of Preparation Technology of Nanomaterials, College of Chemistry and Chemical Engineering)

Abstract

Flexible neuromorphic visual systems require high-performance optoelectronic memristors with robust mechanical flexibility and stability. Conventional perovskite memristors suffer from poor film quality, disordered ion migration, and non-uniform resistive switching. Here, a flexible memristor based on CsPbBrI2 perovskite quantum dots:graphene oxide (GO) composite is fabricated to overcome these drawbacks. GO passivates surface defects and regulates ion migration, yielding compact composite films with efficient photogenerated carrier separation. The device exhibits remarkable photo-modulated bipolar resistive switching with a greatly enhanced ON/OFF ratio, exceptional mechanical flexibility, and cycling stability. The optoelectronic synergy promotes uniform conductive filament formation and in situ insulating barrier generation, clarifying the intrinsic photo-enhanced resistive switching mechanism. Integrated into an in-sensor convolutional neural network, the device realizes efficient low-light visual enhancement with improved perceptual performance. This work provides a feasible strategy for high-performance flexible optoelectronic memristors, showing promising prospects in neuromorphic computing and low-light intelligent sensing.

Article Details

Volume / Issue Vol. 129, Issue 3
Published July 20, 2026
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (6)

Z

Ziwei Yue

Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,

S

Siyu Zhao

College of Chemistry, Zhengzhou University, 100 Science Avenue, Zhengzhou 450001, P.R. China

Y

Yuchun Li

L

Lingzhi Tang

Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, College of Information Engineering, Hebei GEO University 1 , Shijiazhuang 052161,

S

Shuxia Ren

Hebei Provincial Engineering Research Center for Metamaterials and Micro-Devices, School of Materials Science and Engineering, Shijiazhuang Tiedao University 2 , Shijiazhuang 050043,

J

Jingjuan Wang

New Cornerstone Science Laboratory, State Key Laboratory for Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, and National & Local Joint Engineering Research Center of Preparation Technology of Nanomaterials, College of Chemistry and Chemical Engineering