Multisensory Ferroelectric Semiconductor Synapse for Neuromorphic Computing

Author:

Zeng Jinhua12ORCID,Feng Guangdi3,Wu Guangjian14,Liu Jianquan3,Zhao Qianru12,Wang Huiting12,Wu Shuaiqin15,Wang Xudong1,Chen Yan15,Han Suting6,Tian Bobo3,Duan Chungang3,Lin Tie1,Ge Jun1,Shen Hong1,Meng Xiangjian1,Chu Junhao135,Wang Jianlu145ORCID

Affiliation:

1. State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China

2. University of Chinese Academy of Sciences Beijing 100049 China

3. Key Laboratory of Polar Materials and Devices (MOE) Shanghai Center of Brain‐inspired Intelligent Materials and Devices Department of Electronics East China Normal University Shanghai 200241 China

4. State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai 200433 China

5. Shanghai Frontier Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai 200433 China

6. Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Hong Kong SAR China

Abstract

AbstractIntegrated multifunctionality in visual information processing is crucial in the artificial intelligence era. Compared to the parallel human vision system, current bionic vision devices exhibit a complex structure with single functionality, challenging intelligent processing and integration. Here, a multisensory artificial synapse with a crossbar structure comprising graphene/α‐In2Se3/graphene layers is demonstrated, merging sensing, memory, and computing while mimicking various synaptic properties. The Schottky barrier height is modulated by the polarization of ferroelectric semiconductor α‐In2Se3, enabling reconfigurable device conductance and photoresponsivity. This conductance emulates synaptic short‐term and long‐term plasticity through electrical pulse modulation, boasting a rapid 40 ns programming speed. The device also exhibits linearly regulated photoresponsivity under illumination, with synaptic plasticity from optical pulses. The fusion of electronic and optoelectronic devices enables both image front‐end processing and advanced post‐processing. In‐sensor front‐end processing enhances subsequent processing efficiency, with pattern recognition accuracy reaching 97%. This design fosters the advancement of multisensory and highly integrated neuromorphic vision systems.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

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