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Search for "superconducting neural network" in Full Text gives 2 result(s) in Beilstein Journal of Nanotechnology.

Tunable superconducting neurons for networks based on radial basis functions

  • Andrey E. Schegolev,
  • Nikolay V. Klenov,
  • Sergey V. Bakurskiy,
  • Igor I. Soloviev,
  • Mikhail Yu. Kupriyanov,
  • Maxim V. Tereshonok and
  • Anatoli S. Sidorenko

Beilstein J. Nanotechnol. 2022, 13, 444–454, doi:10.3762/bjnano.13.37

Graphical Abstract
  • , ferromagnetic, and normal layers. Keywords: networks on radial basis functions; Josephson circuits; radial basis functions (RBFs); spintronics; superconducting electronics; superconducting neural network; Introduction For modern telecommunications, probabilistic identification of various sources in a
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Published 18 May 2022

Controlling the proximity effect in a Co/Nb multilayer: the properties of electronic transport

  • Sergey Bakurskiy,
  • Mikhail Kupriyanov,
  • Nikolay V. Klenov,
  • Igor Soloviev,
  • Andrey Schegolev,
  • Roman Morari,
  • Yury Khaydukov and
  • Anatoli S. Sidorenko

Beilstein J. Nanotechnol. 2020, 11, 1336–1345, doi:10.3762/bjnano.11.118

Graphical Abstract
  • superlattices can be used as tunable kinetic inductors designed for artificial neural networks representing the information in a “current domain”. Keywords: cryogenic computing; spin-valve; superconducting neural network; superconducting spintronics; Introduction Multilayer superconductor/ferromagnetic (S/F
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Published 07 Sep 2020
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