Photovoltaic memristors based on photoelectric synaptic plasticity of a bulk photovoltaic effect device-Reference-Cited by-同舟云学术

Photovoltaic memristors based on photoelectric synaptic plasticity of a bulk photovoltaic effect device

Published:2022 Issue:45 Volume:10 Page:17386-17397
ISSN:2050-7526
Container-title:Journal of Materials Chemistry C
language:en
Short-container-title:J. Mater. Chem. C

Author:

Chen Yang¹,Wei Haoming¹^ORCID,Wu Yangqing¹,Yang Tengzhou¹,Cao Bingqiang²

Affiliation:

1. Shandong Provincial Key Laboratory of Laser Polarization and Information Technology, School of Physics and Physical Engineering, Qufu Normal University, Qufu, 273165, China

2. School of Material Science and Engineering, University of Jinan, Jinan, 250022, China

Abstract

As devices with plasticity similar to biological synapses, photovoltaic memristors based on the bulk photovoltaic effect exhibit impressive abilities for autonomous learning and memory.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/TC/D2TC03800E

Reference58 articles.

1. The Future of Memristors: Materials Engineering and Neural Networks

2. Stimuli‐Responsive Memristive Materials for Artificial Synapses and Neuromorphic Computing

3. Learning through ferroelectric domain dynamics in solid-state synapses

4. The future of electronics based on memristive systems

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