Low-energy-consumption organic synaptic transistors with high recognition accuracy enabled by Schottky barrier regulation-Reference-Cited by-同舟云学术

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Low-energy-consumption organic synaptic transistors with high recognition accuracy enabled by Schottky barrier regulation

Published:2023-10-08 Issue:11 Volume:66 Page:4453-4463
ISSN:2095-8226
Container-title:Science China Materials
language:en
Short-container-title:Sci. China Mater.

Author:

Chen Tianjian,Yu Rengjian,Gao Changsong,Chen Zhenjia,Chen Huipeng,Guo Tailiang,Chen Wei

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s40843-023-2573-6.pdf

Reference58 articles.

1. Ho VM, Lee JA, Martin KC. The cell biology of synaptic plasticity. Science, 2011, 334: 623–628

2. Furber S. Large-scale neuromorphic computing systems. J Neural Eng, 2016, 13: 051001

3. van de Burgt Y, Lubberman E, Fuller EJ, et al. A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. Nat Mater, 2017, 16: 414–418

4. Laughlin SB, de Ruyter van Steveninck RR, Anderson JC. The metabolic cost of neural information. Nat Neurosci, 1998, 1: 36–41

5. Von Neumann J. The principles of large-scale computing machines. IEEE Ann Hist Comput, 1981, 3: 263–273

Cited by 2 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. Organic synaptic transistor showing ultralow energy consumption with a microscale channel by laser ablation;Applied Physics Letters;2024-08-05

2. Flexible Organic Electrochemical Transistors for Energy-Efficient Neuromorphic Computing;Nanomaterials;2024-07-12

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