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Nanoscale Horizons, 2024, Volume 9, Pages 238–247
DOI: https://doi.org/10.1039/D3NH00421J
(Mi nanho1)
 

This article is cited in 6 scientific papers (total in 6 papers)

Adapted MLP-Mixer network based on crossbar arrays of fast and multilevel switching $(\mathrm{Co}-\mathrm{Fe}-\mathrm{B})_x(\mathrm{LiNbO}_3)_{100-x}$ nanocomposite memristors

Aleksandr I. Iliasovab, Anna N. Matsukatovaab, Andrey V. Emelyanovac, Pavel S. Slepovd, Vladimir V. Rylkove

a National Research Centre Kurchatov Institute, 123182 Moscow, Russia
b Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia
c Moscow Institute of Physics and Technology (State University), 141700 Dolgoprudny, Moscow Region, Russia
d Steklov Mathematical Institute RAS, 119991 Moscow, Russia
e Kotelnikov Institute of Radio Engineering and Electronics RAS, 141190 Fryazino, Moscow Region, Russia
Citations (6)
Funding agency Grant number
Russian Science Foundation 22-19-00171
Intellect
This work was supported by the Russian Science Foundation (project no. 22-19-00171) in part of the memristive characteristics investigation and by the NRC Kurchatov Institute (no. 86) in part of the structural investigation. A.N. Matsukatova acknowledges financial support from the Non-commercial Foundation for the Advancement of Science and Education INTELLECT in the neural network simulation part.
Received: 22.09.2023
Accepted: 13.12.2023
Document Type: Article
Language: English
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