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| Full Title | Machine Learning for Materials Discovery Numerical Recipes and Practical Applications |
|---|---|
| Author(s) | N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo |
| Edition | |
| ISBN | 9783031446221, 9783031446214 |
| Publisher | Springer |
| Format | PDF and EPUB |
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.
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