Data-Based Methods for Materials Design and Discovery

Basic Ideas and General Methods

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

172 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Synthesis Lectures on Materials and Optics
• Themen: Mathematik und Naturwissenschaften Physik Optische Physik Laserphysik
• ISBN: 9783031012556
• Sprache: Englisch
• Erscheinungsdatum: 06.03.2020
• Größe: 23.5 x 19.1 cm
• Verlag: Springer International Publishing