High-performance memristor for energy-efficient artificial optoelectronic synapse based on BiVO4 nanosheets-Reference-Cited by-同舟云学术

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High-performance memristor for energy-efficient artificial optoelectronic synapse based on BiVO4 nanosheets

Published:2024-07 Issue: Volume:991 Page:174533
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Zhong Yang,Yin Jinxiang,Li Mei,He Yanyan,Lei Peixian,Zhong Lun,Liao Kanghong,Wu Haijuan,Wang Zegao,Jie Wenjing

Funder

Natural Science Foundation of Sichuan Province

Science and Technology Department of Sichuan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference52 articles.

1. Neuromorphic computing with multi-memristive synapses;Boybat;Nat. Commun.,2018

2. In-memory computing with resistive switching devices;Ielmini;Nat. Electron.,2018

3. Artificial synapses enabled neuromorphic computing: from blueprints to reality;Li;Nano Energy,2022

4. 2D Material based synaptic devices for neuromorphic computing;Cao;Adv. Funct. Mater.,2020

5. Memristor based on inorganic and organic two-dimensional materials: mechanisms, performance, and synaptic applications;Liao;ACS Appl. Mater. Interfaces,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe₂/P_xO_y Heterostructured Memristor;The Journal of Physical Chemistry Letters;2024-08-20

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