Data-Based Methods for Materials Design and Discovery

Download or read book Data-Based Methods for Materials Design and Discovery written by Ghanshyam Pilania and published by Morgan & Claypool Publishers. This book was released on 2020-03-06 with total page 190 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.