Download Machine Learning for Materials Discovery 2024
Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications book pdf download. 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.
- Author (s): N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
- Year of publication: 2024
- Publisher: Springer
- Language: English
- ISBN: 3031446216, 9783031446214, 9783031446221
- Pages: 287 pages
- Book format: PDF
- File size: 7 MB
