Machine Learning for Materials Discovery
Krishnan, N. M. Anoop, Kodamana, Hariprasad, Bhattoo, Ravinder
Produktnummer:
189e017e499de84ac3a0a245965640e802
| Autor: | Bhattoo, Ravinder Kodamana, Hariprasad Krishnan, N. M. Anoop |
|---|---|
| Themengebiete: | Bayesian Optimization Codes for Materials Design Composition-Property Models for Materials Computational Glass Modeling Data-Driven Modelling Inverse Design of Materials Machine Learning for Glasses Materials Property Prediction Physics-Informed Machine Learning for Materials Property Prediction for Materials |
| Veröffentlichungsdatum: | 08.05.2025 |
| EAN: | 9783031446245 |
| Sprache: | Englisch |
| Seitenzahl: | 279 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Untertitel: | Numerical Recipes and Practical Applications |
Produktinformationen "Machine Learning for Materials Discovery"
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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