Machine Intelligence for Materials Science: Numerical Recipes and Practical Applications

Krishnan, N. M. Anoop; Kodamana, Hariprasad; Bhattoo, Ravinder

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.

Details

Published by: Springer

Publication Date: 2025-05-08

Format: Paperback

ISBN-13: 9783031446245

DOI: 10.1007/978-3-031-44622-1

Dimensions: 235cm x155cm

Pages: 279