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商品詳細
Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications.
・ISBN 978-3-031-44624-5 paper EUR 159.99
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| 著者・編者 | Krishnan, N. M. Anoop / Kodamana, Hariprasad / Bhattoo, Ravinder, |
|---|---|
| シリーズ | (Machine Intelligence for Materials Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 279 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-63868＞ |
解説
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.