Data-Based Methods for Materials Design and Discovery : Basic Ideas and General Methods PDF
by Ghanshyam Pilania, Prasanna V. Balachandran, James E. Gubernatis, Turab Lookman
Part of the Synthesis Lectures on Materials and Optics series
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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
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Download - Immediately Available
- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:31/05/2022
- Category:
- ISBN:9783031023835
Other Formats
- Hardback from £95.45
- Paperback / softback from £38.55
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:31/05/2022
- Category:
- ISBN:9783031023835
