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商品詳細
Materials Informatics III: Polymers, Solvents and Energetic Materials.
・ISBN 978-3-031-78726-3 paper EUR 219.99
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| 著者・編者 | Roy, Kunal / Banerjee, Arkaprava (eds.), |
|---|---|
| シリーズ | (Challenges and Advances in Computational Chemistry and Physics) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 371 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-80695> |
解説
This contributed volume focuses on the application of machine learning and cheminformatics in predictive modeling for organic materials, polymers, solvents, and energetic materials. It provides an in-depth look at how machine learning is utilized to predict key properties of polymers, deep eutectic solvents, and ionic liquids, as well as to improve safety and performance in the study of energetic and reactive materials. With chapters covering polymer informatics, quantitative structure-property relationship (QSPR) modeling, and computational approaches, the book serves as a comprehensive resource for researchers applying predictive modeling techniques to advance materials science and improve material safety and performance.