Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications Hardback
by N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Part of the Machine Intelligence for Materials Science series
Hardback
Description
Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery.
The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully.
A unique feature of this book is its hands-on aspect—each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python.
This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.
Information
-
Pre-Order
- Format:Hardback
- Pages:279 pages, 95 Illustrations, color; 15 Illustrations, black and white; XX, 279 p. 110 illus., 95 ill
- Publisher:Springer International Publishing AG
- Publication Date:04/06/2024
- Category:
- ISBN:9783031446214
Information
-
Pre-Order
- Format:Hardback
- Pages:279 pages, 95 Illustrations, color; 15 Illustrations, black and white; XX, 279 p. 110 illus., 95 ill
- Publisher:Springer International Publishing AG
- Publication Date:04/06/2024
- Category:
- ISBN:9783031446214
