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Author | Title | Accn# | Year | Item Type | Claims |
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Krishnan, N. M. Anoop |
Machine Learning for Materials Discovery |
I13026 |
2024 |
eBook |
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| Title | Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications |
| Author(s) | Krishnan, N. M. Anoop;Kodamana, Hariprasad;Bhattoo, Ravinder |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2024. |
| Description | XX, 279 p. 110 illus., 95 illus. in color : online resource |
| Abstract Note | 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 |
| ISBN,Price | 9783031446221 |
| Keyword(s) | 1. Ceramic materials
2. Ceramics
3. COMPLEX SYSTEMS
4. Computational Materials Science
5. EBOOK
6. EBOOK - SPRINGER
7. MACHINE LEARNING
8. MATERIALS SCIENCE
9. MATHEMATICAL PHYSICS
10. SYSTEM THEORY
11. Theoretical, Mathematical and Computational Physics
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| Item Type | eBook |
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| I13026 |
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