Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2057-3960

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods ; volume:7 ; number:1 ; day:4 ; month:1 ; year:2021 ; pages:1-11 ; date:12.2021
npj computational materials ; 7, Heft 1 (4.1.2021), 1-11, 12.2021

Creator: Montes de Oca Zapiain, David
Stewart, James A.
Dingreville, Rémi

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41524-020-00471-8

URN: urn:nbn:de:101:1-2021020121311447150462

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Montes de Oca Zapiain, David
Stewart, James A.
Dingreville, Rémi
SpringerLink (Online service)

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Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

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