Synthesis Lectures on Materials and Optics: Basic Ideas and General Methods

Pilania, Ghanshyam; Balachandran, Prasanna V.; Gubernatis, James E.; Lookman, Turab

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.

Details

Published by: Springer

Publication Date: 2020-03-06

Format: Paperback

ISBN-13: 9783031012556

DOI: 10.1007/978-3-031-02383-5

Dimensions: 235cm x191cm

Pages: 172