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Base elements for superconducting artificial neural network

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dc.contributor.author SIDORENKO, Anatolie
dc.contributor.author BOIAN, Vladimir
dc.contributor.author LUPU, Maria
dc.contributor.author PREPELITSA, Andrei
dc.date.accessioned 2024-04-24T08:49:59Z
dc.date.available 2024-04-24T08:49:59Z
dc.date.issued 2024
dc.identifier.isbn 978-9975-64-422-8
dc.identifier.uri http://repository.utm.md/handle/5014/26867
dc.description.abstract We present results of our design and investigation of superconducting spin-valves and superconducting synapse, based on layered hybrid structures superconductor-ferromagnet. Results of our theoretical and experimental study of the proximity effect in a stack-like superconductor/ferromagnet (S/F) superlattice with Co- ferromagnetic layers of different thicknesses and coercive fields, and Nb-superconducting layers of constant thickness equal to coherence length of niobium, are presented. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries NANO-2024 "Quo Vadis – Ethics of the Scientific Research", event devoted to the 60th anniversary of the Technical University of Moldova;15-18 April 2024, Chişinău, Republica Moldova
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject superconducting spin-valves en_US
dc.subject superconducting synapses en_US
dc.subject structures superconductor-ferromagnet en_US
dc.subject superlattices en_US
dc.title Base elements for superconducting artificial neural network en_US
dc.type Article en_US


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