Data-Based Methods for Materials Design and Discovery : Basic Ideas and General Methods
Book Details
Format
Paperback / softback
Book Series
Synthesis Lectures on Materials and Optics
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.
Get Data-Based Methods for Materials Design and Discovery by Ghanshyam Pilania, James E. Gubernatis at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has 172 pages.
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