Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications

By Hariprasad Kodamana and N. M. Anoop Krishnan

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.

• Format: Hardcover
• Language: English
• ISBN: 3031446216
• ISBN13: 9783031446214
• Release Date: May 2024
• Publisher: Springer
• Length: 279 Pages
• Weight: 1.40 lbs.
• Dimensions: 0.7" x 6.0" x 9.0"