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Materials and Design, volume 188, pages 108415

Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system

Publication typeJournal Article
Publication date2020-03-01
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor8.4
ISSN02641275, 18734197
General Materials Science
Mechanical Engineering
Mechanics of Materials
Abstract
Imitation of memory and learning behaviors of nervous system by nanoscale photoelectric devices is highly desirable for building neuromorphic systems or even artificial neural networks. In this work, artificial synapses with photoelectric plasticity and memory behaviors based on a charge trapping memristive system was fabricated. Versatile synaptic functions, such as photoelectric excitatory postsynaptic current behavior, short-term memory, long-term memory, short - to long-term memory transition, and photonic learning and forgetting behaviors, were all mimicked by applied pulses of light and electricity. Moreover, the device also has the potential to be used in flexible applications. The photoelectric plasticity and memory phenomenon can be attributed to charge trapping and detrapping, since the used CdSe/ZnS quantum dots with a quantum well structure that act as trapping centers. This work provides a cost-effective method to develop artificial synapse devices, neural networks, and computers with photoelectric operations.

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GOST Copy
Chen Z. et al. Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system // Materials and Design. 2020. Vol. 188. p. 108415.
GOST all authors (up to 50) Copy
Chen Z., Yu Y., Jin L., Li Y., Li Q., Li T., Zhang Y., Dai H., Yao J. Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system // Materials and Design. 2020. Vol. 188. p. 108415.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.matdes.2019.108415
UR - https://doi.org/10.1016/j.matdes.2019.108415
TI - Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system
T2 - Materials and Design
AU - Chen, Zhi-Liang
AU - Yu, Yuan
AU - Jin, Lufan
AU - Li, Yifan
AU - Li, Qing-Yan
AU - Li, Teng-Teng
AU - Zhang, Yating
AU - Dai, Haitao
AU - Yao, Jiyong
PY - 2020
DA - 2020/03/01 00:00:00
PB - Elsevier
SP - 108415
VL - 188
SN - 0264-1275
SN - 1873-4197
ER -
BibTex
Cite this
BibTex Copy
@article{2020_Chen,
author = {Zhi-Liang Chen and Yuan Yu and Lufan Jin and Yifan Li and Qing-Yan Li and Teng-Teng Li and Yating Zhang and Haitao Dai and Jiyong Yao},
title = {Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system},
journal = {Materials and Design},
year = {2020},
volume = {188},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/j.matdes.2019.108415},
pages = {108415},
doi = {10.1016/j.matdes.2019.108415}
}
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