Realization of tunable artificial synapse through ambipolar charge trapping in organic transistor with pentacene/poly(α-methylstyrene) architecture-Reference-Cited by-同舟云学术

Realization of tunable artificial synapse through ambipolar charge trapping in organic transistor with pentacene/poly(α-methylstyrene) architecture

Published:2021-02-21 Issue:7 Volume:129 Page:074903
ISSN:0021-8979
Container-title:Journal of Applied Physics
language:en
Short-container-title:Journal of Applied Physics

Author:

Li Yushan¹²,Tao Ruiqiang¹²^ORCID,He Waner¹²,Chang Cheng¹²,Zou Zhengmiao¹²,Zhang Yan¹²,Wang Dao¹²,Wang Jiali¹²,Fan Zhen¹²^ORCID,Zhou Guofu²³,Lu Xubing¹²^ORCID,Liu Junming¹⁴^ORCID

Affiliation:

1. Institute for Advanced Materials, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China

2. Guangdong Provincial Key Laboratory of Optical Information Materials, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou 510006, China

3. National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, 510006, China

4. Laboratory of Solid State Microstructures and Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 21009, China

Funder

Science and technology program of guangzhou

Research and cultivation foundation for young teachers in South China Normal Universityy

National natural science foundation of china

Joint Funds of basic and Applied basic research foundation of guangdong province

Guangdong province key laboratory of optical information and technology

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0043016

Reference40 articles.

1. Memristive crossbar arrays for brain-inspired computing

2. Gating-induced reversible HxVO2 phase transformations for neuromorphic computing

3. The future of electronics based on memristive systems

4. Proton-Conducting Graphene Oxide-Coupled Neuron Transistors for Brain-Inspired Cognitive Systems

5. Recent Advances in Transistor‐Based Artificial Synapses

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