Mote2-based low energy consumption artificial synapse for neuromorphic behavior and decimal arithmetic

Two-dimensional material-based memristors have shown attractive research prospects as brain-like devices for neuromorphic computing. Among them, transition metal dichalcogenides–based memristors have proved to be one of the most promising competitors. In this work, a two-dimensional memristor based...

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書誌詳細
主要な著者: Yu, T., Zhao, Z., Jiang, H., Weng, Z., Fang, Y., Yu, Y., Lei, W., Shafe, S. B., Mohtar, M. N.
フォーマット: 論文
言語:English
出版事項: Elsevier 2023
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/108904/1/MoTe2-based%20low%20energy.pdf
http://psasir.upm.edu.my/id/eprint/108904/
https://linkinghub.elsevier.com/retrieve/pii/S2468519422004979
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