Spectrally Defined Bipolar Black Phosphorus Memristor Enables All‐Optical Boolean Logic and Multispectral Computing
Abstract
ABSTRACT Although optoelectronic memristors with nonvolatile bipolar photoconductivity enable in‐sensor vision‐centric neuromorphic hardware, achieving wavelength‐defined polarity inversion across a broad spectrum remains a challenging task. Herein, a stable optoelectronic memristor composed of nonstoichiometric lead oxide (PbO x ) coated black phosphorus (BP) nanosheets is demonstrated. The optoelectronic processes in the PbO x ‐BP heterostructure result in programmable polar photoresponses across the 365 nm – 1,550 nm wavelength range. Visible light causes positive photoconductance via photoelectrochemical Ag + reduction and conductive filament reconstruction. Conversely, ultraviolet light drives the reverse photogenerated electron transfer to chemically oxidize the Ag CFs, while infrared light induces their localized melting via the photothermal effect. This bipolar optoelectronic tunability enables all‐optical Boolean logic operations, allowing for the realization of 14 binary functions through optical reconfiguration. Furthermore, multispectral computing tasks, including edge extraction and spectral noise suppression, are performed, yielding a classification accuracy of up to 98.6% for 16 crop species using an all‐optical convolutional neural network. The ultra‐thin oxide coating presents an effective surface modification approach to improve two‐dimensional devices, while the optoelectronic bipolarity establishes a framework for all‐optical modulation in neuromorphic machine vision.
Article Details
Authors (11)
Shanwu Ke
Key Laboratory of Intelligent Sensing System and Security of the Ministry of Education, Hubei University 2 , Wuhan 430062,
Yang Li
Yuanduo Qu
Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China
Hao Huang
Mengdi Hao
Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China
Li Yang
Qiqian Wu
Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen P. R. China
Cong Ye
Paul K. Chu
Xue‐Feng Yu
Materials Artificial Intelligence Center, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan Avenue Shenzhen 518055 P.R. China
Jiahong Wang
School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China