Data-Based Methods for Materials Design and Discovery

Data-Based Methods for Materials Design and Discovery

Ghanshyam Pilania / James E. Gubernatis / Prasanna V. Balachandran

76,44 €
IVA incluido
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Editorial:
Springer Nature B.V.
Año de edición:
2020
ISBN:
9783031012556
76,44 €
IVA incluido
Disponible

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Sobre IBD

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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