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Methodology for the formation of ANN’s elements

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dc.contributor.author LUPU, Maria
dc.date.accessioned 2024-04-25T12:54:27Z
dc.date.available 2024-04-25T12:54:27Z
dc.date.issued 2024
dc.identifier.citation LUPU, Maria. Methodology for the formation of ANN’s elements. In: Quo Vadis – Ethics of the Scientific Research: conf. NANO-2024, event devoted to the 60th anniversary of the Technical University of Moldova, 15-18 April 2024, Chişinău, Republica Moldova: Program and proceedings of the conference, Chişinău 2024, pp. 83-84. ISBN 978-9975-64-422-8. en_US
dc.identifier.isbn 978-9975-64-422-8
dc.identifier.uri http://repository.utm.md/handle/5014/26926
dc.description.abstract Elaboration of two main Artificial Neural Networks elements – nonlinear switch (neuron) and linear connecting element (synapse) is based on layered hybrid structures [1]. The relevance of this construction was determined by the development of technological capabilities and the convenience of varying the characteristics of transitions on the other. The formation of a planar Josephson Junction is based on the formation of a multilayer superconducting heterostructure, in the simplest cases consisting of three functional layers. In fact, the required characteristics of the Josephson transition are laid down during the formation of a superconducting heterostructure. The intermediate layer or interlayer enclosed between two layers of a superconductor completely determines the mechanism of current transport and, accordingly, the characteristics of the Josephson Junction [2]. The most convenient method of forming a superconducting heterostructure is the method of magnetron sputtering of materials. This method, in the presence of several magnetrons in a vacuum installation, makes it possible to form a superconducting heterostructure in a single vacuum cycle, which completely eliminates the introduction of additional contaminants at the interface of the layers. The magnetron sputtering method is characterized by a relatively low energy of the process, which practically eliminates mutual diffusion, especially of refractory materials, at the interface of layers and provides atomic sharpness of the boundaries during the formation of a superconducting heterostructure. 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 Artificial Neural Networks elements en_US
dc.subject hybrid structures en_US
dc.subject Josephson Junction en_US
dc.title Methodology for the formation of ANN’s elements en_US
dc.type Article en_US


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