Biopolymer based artificial synapses enable linear conductance tuning and low-power for neuromorphic computing-Reference-Cited by-同舟云学术

Biopolymer based artificial synapses enable linear conductance tuning and low-power for neuromorphic computing

Published:2022 Issue:35 Volume:14 Page:12898-12908
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Zhang Ke¹,Xue Qi¹,Zhou Chao²,Mo Wanneng³,Chen Chun-Chao¹^ORCID,Li Ming¹,Hang Tao¹^ORCID

Affiliation:

1. State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering Shanghai Jiao Tong University, Shanghai, 200240, China

2. Key Laboratory of Thin Film and Microfabrication Technology (Ministry of Education), School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

3. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

Abstract

The mitigating effects of synaptic nonlinearity and low power through AgNO3 doping was achieved in the biomaterial based artificial synapse.

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Development Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NR/D2NR01996E