Data-based methods for materials design and discovery: basic ideas and general methods
Auteur :
Pilania, Ghanshyam / Balachandran, Prasanna V. / Gubernatis, James E. / Lookman, Turab
Éditeur :
Springer International Publishing AG
ISBN :
9783031012556
Date de publication :
6 mars 2020
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.