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Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. It develops the foundations and details a number of scientific machine learning approaches to enrich current computational models of continuu...

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Bibliografiske detaljer
Hovedforfatter:	Garikipati, Krishna (Author)
Institution som forfatter:	SpringerLink (Online service)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Udgivelse:	1st ed. 2024.
Serier:	Interdisciplinary Applied Mathematics, 60
Fag:	Mathematical models. Artificial intelligence > Data processing. Machine learning. Mathematical Modeling and Industrial Mathematics. Data Science. Machine Learning.
Online adgang:	https://doi.org/10.1007/978-3-031-62029-4
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