Data-Based Methods for Materials Design and Discovery

Data-Based Methods for Materials Design and Discovery
Author :
Publisher : Springer Nature
Total Pages : 172
Release :
ISBN-10 : 9783031023835
ISBN-13 : 3031023838
Rating : 4/5 (838 Downloads)

Book Synopsis Data-Based Methods for Materials Design and Discovery by : Ghanshyam Pilania

Download or read book Data-Based Methods for Materials Design and Discovery written by Ghanshyam Pilania and published by Springer Nature. This book was released on 2022-05-31 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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