Metal-organic framework single crystal for in-memory neuromorphic computing with a light control

Abstract Neuromorphic architectures, expanding the limits of computing from conventional data processing and storage to advanced cognition, learning, and in-memory computing, impose restrictions on materials that should operate fast, energy efficiently, and highly endurant. Here we report on in-memo...

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Bibliographic Details
Main Authors: Semyon V. Bachinin, Alexandr Marunchenko, Ivan Matchenya, Nikolai Zhestkij, Vladimir Shirobokov, Ekaterina Gunina, Alexander Novikov, Maria Timofeeva, Svyatoslav A. Povarov, Fengting Li, Valentin A. Milichko
Format: Article
Language:English
Published: Nature Portfolio 2024-07-01
Series:Communications Materials
Online Access:https://doi.org/10.1038/s43246-024-00573-6