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                                       Details for article 112 of 290 found articles
 
 
  Enhancing the precision of magnetocrystalline anisotropy energy estimation from Barkhausen Noise using a deep neural network
 
 
Title: Enhancing the precision of magnetocrystalline anisotropy energy estimation from Barkhausen Noise using a deep neural network
Author: Perez-Montes, Filiberto
Ortega-Labra, Omar
Manh, Tu Le
Perez-Benitez, J.A.
Appeared in: Materials today communications
Paging: Volume 24 () nr. C pages p.
Year: 2020
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 112 of 290 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands