Data-Based Methods for Materials Design and Discovery 1

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Data-Based Methods for Materials Design and Discovery

Ghanshyam Pilania • Prasanna V Balachandran • James E Gubernatis • Turab Lookman

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172 sidor
2020

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.

Författare: Ghanshyam Pilania, Prasanna V Balachandran, James E Gubernatis, Turab Lookman
Format: Pocket/Paperback
ISBN: 9783031012556
Språk: Engelska
Antal sidor: 172
Utgivningsdatum: 2020-03-06
Förlag: Springer International Publishing AG