Wavelength‐Controlled Photoconductance Polarity Switching via Harnessing Defects in Doped PdSe2 for Artificial Synaptic Features

Author:

Jiang Jiayang1,Xu Weiting2,Sun Zhenhao1,Fu Lei1,Zhang Shixiong1,Qin Biao1,Fan Teng1,Li Guoping1,Chen Shuaiyu1,Yang Shengxue2,Ge Weikun1,Shen Bo134,Tang Ning134ORCID

Affiliation:

1. State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano‐optoelectronics School of Physics Peking University Beijing 100871 China

2. School of Materials Science and Engineering Beihang University Beijing 100191 China

3. Peking University Yangtze Delta Institute of Optoelectronics Nantong Jiangsu 226010 China

4. Collaborative Innovation Center of Quantum Matter Beijing 100871 China

Abstract

AbstractOptoelectronic synapses are currently drawing significant attention as fundamental building blocks of neuromorphic computing to mimic brain functions. In this study, a two‐terminal synaptic device based on a doped PdSe2 flake is proposed to imitate the key neural functions in an optical pathway. Due to the wavelength‐dependent desorption of oxygen clusters near the intrinsic selenide vacancy defects, the doped PdSe2 photodetector achieves a high negative photoresponsivity of −7.8 × 103 A W−1 at 473 nm and a positive photoresponsivity of 181 A W−1 at 1064 nm. This wavelength‐selective bi‐direction photoresponse endows an all‐optical pathway to imitate the fundamental functions of artificial synapses on a device level, such as psychological learning and forgetting capability, as well as dynamic logic functions. The underpinning photoresponse is further demonstrated on a flexible platform, providing a viable technology for neuromorphic computing in wearable electronics. Furthermore, the p‐type doping results in an effective increase of the channel's electrical conductivity and a significant reduction in power consumption. Such low‐power‐consuming optical synapses with simple device architecture and low‐dimensional features demonstrate tremendous promise for building multifunctional artificial neuromorphic systems in the future.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

Subject

Biomaterials,Biotechnology,General Materials Science,General Chemistry

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