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Data-Based Methods for Materials Design and Discovery
By Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman

, 188 pages © 2020
ISBN 168173737X
Availability: Available
Price: US $79.95 Add to Cart

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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