Data-Based Methods for Materials Design and Discovery
Basic Ideas and General Methods
Series: Synthesis Lectures on Materials and Optics;
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Product details:
- Publisher Morgan & Claypool
- Date of Publication 6 March 2020
- Number of Volumes 1 pieces, Book
- ISBN 9783031012556
- Binding Paperback
- No. of pages172 pages
- Size 235x191 mm
- Weight 372 g
- Language English
- Illustrations XVI, 172 p. 43
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Long 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.
MoreTable of Contents:
Preface.- Acknowledgments.- Introduction.- Materials Representations.- Learning with Large Databases.- Learning with Small Databases.- Multi-Objective Learning.- Multi-Fidelity Learning.- Some Closing Thoughts.- Authors' Biographies.
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Data-Based Methods for Materials Design and Discovery: Basic Ideas and General Methods
