Open Access
Beilstein Journal of Nanotechnology, volume 13, pages 444-454
Tunable superconducting neurons for networks based on radial basis functions
Schegolev Andrey E.
1, 2
,
Klenov Nikolay V.
1, 3
,
Bakurskiy Sergey V
1, 4
,
Soloviev Igor I.
1
,
Tereshonok M.V.
2
,
Sidorenko Anatoli S
5, 6
,
Soloviev Igor I
Publication type: Journal Article
Publication date: 2022-05-18
Journal:
Beilstein Journal of Nanotechnology
Quartile SCImago
Q2
Quartile WOS
Q2
Impact factor: 3.1
ISSN: 21904286
General Physics and Astronomy
General Materials Science
Electrical and Electronic Engineering
Abstract
The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and energy efficiency are critically important. In this paper, we consider the basic elements for superconducting neural networks on radial basis functions. We examine the static and dynamic activation functions of the proposed neuron. Special attention is paid to tuning the activation functions to a Gaussian form with relatively large amplitude. For the practical implementation of the required tunability, we proposed and investigated heterostructures designed for the implementation of adjustable inductors that consist of superconducting, ferromagnetic, and normal layers.
Citations by journals
1
2
3
|
|
Nanomaterials
|
Nanomaterials
3 publications, 33.33%
|
Beilstein Journal of Nanotechnology
|
Beilstein Journal of Nanotechnology
2 publications, 22.22%
|
Frontiers in Environmental Science
|
Frontiers in Environmental Science
1 publication, 11.11%
|
Applied Physics Letters
|
Applied Physics Letters
1 publication, 11.11%
|
JETP Letters
|
JETP Letters
1 publication, 11.11%
|
Journal of Experimental and Theoretical Physics
|
Journal of Experimental and Theoretical Physics
1 publication, 11.11%
|
1
2
3
|
Citations by publishers
1
2
3
|
|
Multidisciplinary Digital Publishing Institute (MDPI)
|
Multidisciplinary Digital Publishing Institute (MDPI)
3 publications, 33.33%
|
Beilstein-Institut
|
Beilstein-Institut
2 publications, 22.22%
|
Pleiades Publishing
|
Pleiades Publishing
2 publications, 22.22%
|
Frontiers Media S.A.
|
Frontiers Media S.A.
1 publication, 11.11%
|
American Institute of Physics (AIP)
|
American Institute of Physics (AIP)
1 publication, 11.11%
|
1
2
3
|
- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Schegolev A. E. et al. Tunable superconducting neurons for networks based on radial basis functions // Beilstein Journal of Nanotechnology. 2022. Vol. 13. pp. 444-454.
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Schegolev A. E., Klenov N. V., Bakurskiy S. V., Soloviev I. I., Kupriyanov M. Y., Tereshonok M., Sidorenko A. S., Soloviev I. I. Tunable superconducting neurons for networks based on radial basis functions // Beilstein Journal of Nanotechnology. 2022. Vol. 13. pp. 444-454.
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TY - JOUR
DO - 10.3762/bjnano.13.37
UR - https://doi.org/10.3762%2Fbjnano.13.37
TI - Tunable superconducting neurons for networks based on radial basis functions
T2 - Beilstein Journal of Nanotechnology
AU - Schegolev, Andrey E.
AU - Klenov, Nikolay V.
AU - Bakurskiy, Sergey V
AU - Soloviev, Igor I.
AU - Kupriyanov, Mikhail Yu.
AU - Tereshonok, M.V.
AU - Sidorenko, Anatoli S
AU - Soloviev, Igor I
PY - 2022
DA - 2022/05/18 00:00:00
PB - Beilstein-Institut
SP - 444-454
VL - 13
SN - 2190-4286
ER -
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@article{2022_Schegolev
author = {Andrey E. Schegolev and Nikolay V. Klenov and Sergey V Bakurskiy and Igor I. Soloviev and Mikhail Yu. Kupriyanov and M.V. Tereshonok and Anatoli S Sidorenko and Igor I Soloviev},
title = {Tunable superconducting neurons for networks based on radial basis functions},
journal = {Beilstein Journal of Nanotechnology},
year = {2022},
volume = {13},
publisher = {Beilstein-Institut},
month = {may},
url = {https://doi.org/10.3762%2Fbjnano.13.37},
pages = {444--454},
doi = {10.3762/bjnano.13.37}
}