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Data-Based Methods for Materials Design and Discovery
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Data-Based Methods for Materials Design and Discovery : Basic Ideas and General Methods

Book Details

Format Paperback / Softback
ISBN-10 3031012550
ISBN-13 9783031012556
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 6th, 2020
Print length 172 Pages
Product Classification: Laser physicsMaterials science
Ksh 8,100.00
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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.
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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