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Data-Based Methods for Materials Design and Discovery

- Basic Ideas and General Methods

Data-Based Methods for Materials Design and Discovery

- Basic Ideas and General Methods
Tjek vores konkurrenters priser
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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20 kr
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Tjek vores konkurrenters priser
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.
Produktdetaljer
Sprog: Engelsk
Sider: 172
ISBN-13: 9783031012556
Indbinding: Paperback
Udgave:
ISBN-10: 3031012550
Kategori: Laserfysik
Udg. Dato: 6 mar 2020
Længde: 0mm
Bredde: 191mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 6 mar 2020
Forfatter(e) Prasanna V. Balachandran, James E. Gubernatis, Ghanshyam Pilania, Turab Lookman


Kategori Laserfysik


ISBN-13 9783031012556


Sprog Engelsk


Indbinding Paperback


Sider 172


Udgave


Længde 0mm


Bredde 191mm


Højde 235mm


Udg. Dato 6 mar 2020


Oplagsdato 6 mar 2020


Forlag Springer International Publishing AG

Kategori sammenhænge