Materials Informatics III: Polymers, Solvents and Energetic Materials (Challenges and Advances in Computational Chemistry and Physics, 41) (Original PDF from Publisher)
- Format: Publisher PDF
- Posted Date: 18 May 2025
- Posted By: AfkEbooks
Specification
| Published Year | 2025 |
|---|---|
| Language | English |
| Publisher | Springer |
| Edition : | 1 |
| Format : | Publisher PDF |
| File Size : | 15.2 |
| ISBN : | 978-3031787232, 9783031787249 |
Description
By Kunal Roy, Arkaprava Banerjee
This contributed volumefocuses 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.
Product Details
- Publisher : Springer
- Publication date : March 2, 2025
- Language : English
- ISBN-10 : 3031787234
- ISBN-13 : 978-3031787232
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Publisher
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Language
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ISBN978-3031787232, 9783031787249
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