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pro vyhledávání: '"de Oliveira, Roberto André Henrique"'
Autor:
Kiss, Gergely Máté, Kaska, Jan, de Oliveira, Roberto André Henrique, Rubanenko, Olena, Tóth, Balázs
The paper presents a comparative analysis of different commercial and academic software. The comparison aims to examine how the integrated adaptive grid refinement methodologies can deal with challenging, electromagnetic-field related problems. For t
Externí odkaz:
http://arxiv.org/abs/2009.04399
Publikováno v:
De Oliveira, R A H 2022, ' tLOSS: a collaborative machine learning platform for predicting AC losses in HTS devices ', International Workshop on Numerical Modeling of High Temperature Superconductors, Nancy, France, 14/06/22-16/06/22 .
This work describes an open access platform for collaborative data-driven modelling of AC losses in high-temperature superconducting (HTS) devices, as opposed to computationally intensive, time-consuming numerical methods. The platform is being devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1378::4885065f31f945d7001c07aa0cf2cb8b
https://purehost.bath.ac.uk/ws/files/239283199/Poster_HTS_Modelling_Workshop_2022.pdf
https://purehost.bath.ac.uk/ws/files/239283199/Poster_HTS_Modelling_Workshop_2022.pdf
Akademický článek
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Autor:
Kiss, Gergely Máté, Kaska, Jan, de Oliveira, Roberto André Henrique, Rubanenko, Olena, Tóth, Balázs
Publikováno v:
Periodica Polytechnica: Electrical Engineering & Computer Science; 2021, Vol. 65 Issue 2, p113-122, 10p