Data-Based Methods for Materials Design and Discovery : Basic Ideas and General Methods Hardback
by Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman
Part of the Synthesis Lectures on Materials and Optics series
Hardback
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
-
Item not Available
- Format:Hardback
- Pages:188 pages
- Publisher:Morgan & Claypool Publishers
- Publication Date:06/03/2020
- Category:
- ISBN:9781681737393
Other Formats
- Paperback / softback from £37.09
- PDF from £38.24
Information
-
Item not Available
- Format:Hardback
- Pages:188 pages
- Publisher:Morgan & Claypool Publishers
- Publication Date:06/03/2020
- Category:
- ISBN:9781681737393