Data-Based Methods for Materials Design and Discovery : Basic Ideas and General Methods Paperback / softback
by Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman
Part of the Synthesis Lectures on Materials and Optics series
Paperback / softback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:172 pages, XVI, 172 p.
- Publisher:Springer International Publishing AG
- Publication Date:06/03/2020
- Category:
- ISBN:9783031012556
Other Formats
- Hardback from £95.45
- PDF from £38.24
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:172 pages, XVI, 172 p.
- Publisher:Springer International Publishing AG
- Publication Date:06/03/2020
- Category:
- ISBN:9783031012556
