An artificial synapse based on Sr(Ti, Co)O3 films-Reference-Cited by-同舟云学术

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An artificial synapse based on Sr(Ti, Co)O3 films

Published:2022-12 Issue: Volume:33 Page:104754
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Shen Zhi-Hao,Li Wen-Hua,Tang Xin-Gui,Hu Jia,Wang Kai-Yuan,Jiang Yan-Ping,Guo Xiao-Bin

Funder

National Natural Science Foundation of China

Huizhou University

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference42 articles.

1. Memory devices and applications for in-memory computing;Sebastian;Nat. Nanotechnol.,2020

2. Fully hardware-implemented memristor convolutional neural network;Yao;Nature,2020

3. Halide perovskite for low‐power consumption neuromorphic devices;Raifuku;EcoMat,2021

4. Memristor modeling: challenges in theories, simulations, and device variability;Gao;J. Mater. Chem. C.,2021

5. Deep learning;LeCun;Nature,2015

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1. Memristive synapses based on SrTiO3 thin film;Materials Science and Engineering: B;2024-11

2. Artificial synaptic simulating pain-perceptual nociceptor and brain-inspired computing based on Au/Bi3.2La0.8Ti3O12/ITO memristor;Journal of Materiomics;2024-11

3. Artificial synaptic properties of zirconium-doped barium titanate film for neuromorphic computing;Materials Today Communications;2024-06

4. Emerging memristors and applications in reservoir computing;Frontiers of Physics;2023-11-28

5. Effect of Sn4+ doping on antiferroelectric and energy storage properties of PbHfO3 thin films prepared by a sol-gel process;Surfaces and Interfaces;2023-11

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