Thin-film transistors for emerging neuromorphic electronics: fundamentals, materials, and pattern recognition-Reference-Cited by-同舟云学术

Thin-film transistors for emerging neuromorphic electronics: fundamentals, materials, and pattern recognition

Published:2021 Issue:35 Volume:9 Page:11464-11483
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Wang Conglin¹,Li Yuanzhe²,Wang Yucong¹,Xu Xiangdong¹^ORCID,Fu Mingyang¹,Liu Yuyu¹,Lin Zongqiong³,Ling Haifeng¹⁴^ORCID,Gkoupidenis Paschalis⁴^ORCID,Yi Mingdong¹,Xie Linghai¹^ORCID,Yan Feng²^ORCID,Huang Wei¹³

Affiliation:

1. State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications (NJUPT), 9 Wenyuan Road, Nanjing, 210023, China

2. Department of Applied Physics, Hong Kong Polytechnic University, Hong Kong, China

3. Frontiers Science Center for Flexible Electronics (FSCFE), MIIT Key Laboratory of Flexible Electronics (KLoFE), Northwestern Polytechnical University (NPU), Xi'an 710072, China

4. Department of Molecular Electronics, Max Planck Institute for Polymer Research, Mainz 55128, Germany

Abstract

This review paper provides an overview of the recent successful simulation of pattern recognition with TFT-based artificial synapses from device- to system-level.

Funder

Alexander von Humboldt-Stiftung

Nanjing University of Posts and Telecommunications

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/TC/D1TC01660A

Reference164 articles.

1. Efficiency of Functional Brain Networks and Intellectual Performance

2. Carbon Nanotube Synaptic Transistor Network for Pattern Recognition

3. Polymer Analog Memristive Synapse with Atomic-Scale Conductive Filament for Flexible Neuromorphic Computing System

4. Face classification using electronic synapses

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