Data-Based Methods for Materials Design and Discovery
Basic Ideas and General Methods
Ghanshyam Pilania author Prasanna V Balachandran author James E Gubernatis author Turab Lookman author
Format:Paperback
Publisher:Springer International Publishing AG
Published:6th Mar '20
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9783031012556
Dimensions: unknown
Weight: unknown
172 pages