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About Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)
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.
Detailed Information
| Author: | N. M. Anoop Krishnan |
|---|---|
| Publication Year: | 2024 |
| ISBN: | 9783031446221 |
| Pages: | 287 |
| Language: | English |
| File Size: | 12 |
| Format: | |
| Price: | FREE |
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