A study on pattern classifications with MoS2-based CTF synaptic device-Reference-Cited by-同舟云学术

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A study on pattern classifications with MoS2-based CTF synaptic device

Published:2024-04 Issue: Volume:982 Page:173699
ISSN:0925-8388
Container-title:Journal of Alloys and Compounds
language:en
Short-container-title:Journal of Alloys and Compounds

Author:

Jo Yooyeon,Kim Minkyung,Park Eunpyo,Noh Gichang,Hwang Gyu Weon,Jeong YeonJoo,Kim Jaewook,Park Jongkil,Park Seongsik,Jang Hyun Jae,Kwak Joon Young

Funder

Korea Institute of Science and Technology

National Research Foundation of Korea

Publisher

Elsevier BV

Reference58 articles.

1. Light-stimulated artificial photonic synapses based on solution-processed In-Sn-Zn-O transistors for neuromorphic applications;Kim;J. Alloy. Compd.,2022

2. Energy-efficient synaptic devices based on planar structured h-BN memristor;Wang;J. Alloy. Compd.,2022

3. A halide perovskite thin film diode with modulated depletion layers for artificial synapse;Zhong;J. Alloy. Compd.,2023

4. Lead federated neuromorphic learning for wireless edge artificial intelligence;Yang;Nat. Commun.,2022

5. Brain-inspired global-local learning incorporated with neuromorphic computing;Wu;Nat. Commun.,2022

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. Effects of voltage schemes on the conductance modulation of artificial synaptic device based on 2D hBN memristor: Its applications for pattern classifications;Chaos, Solitons & Fractals;2024-10

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