Author : Ghanshyam Pilania,Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman
Publisher : Morgan & Claypool Publishers
Page : 190 pages
File Size : 40,6 Mb
Release : 2020-03-06
Category : Technology & Engineering
ISBN : 9781681737386
Data-Based Methods for Materials Design and Discovery by Ghanshyam Pilania,Prasanna V. Balachandran,James E. Gubernatis,Turab Lookman Pdf
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.