Predicting the Magnetic Measurements of First- and Second-Order Phase Transition Magnetocaloric Materials with Artificial Neural Networks

AuthID
P-00X-2SA
4
Author(s)
Tipo de Documento
Article
Year published
2022
Publicado
in JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, ISSN: 0304-8853
Volume: 562, Páginas: 169706 (5)
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Publication Identifiers
SCOPUS: 2-s2.0-85135778276
Wos: WOS:000858989800001
Source Identifiers
ISSN: 0304-8853
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