Data-Based Methods for Materials Design and Discovery
Basic Ideas and General Methods
Springer International Publishing
ISBN 978-3-031-02383-5
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Bibliografische Daten
eBook. PDF
2022
XVI, 172 p..
In englischer Sprache
Umfang: 172 S.
Verlag: Springer International Publishing
ISBN: 978-3-031-02383-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Synthesis Lectures on Materials and Optics
Produktbeschreibung
Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions. The authors, who have extensive experience in this interdisciplinary field, discuss generalizations where more than one competing material property is involved or data with differing degrees of precision/costs or fidelity/expense needs to be considered.
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