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books
| book details |
AI-Driven Polymer Design: Structure, Properties, and Applications
Edited by Bhasha Sharma, Edited by Vijay Chaudhary, Edited by Chanchal Ahlawat, Edited by James Njuguna
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| on special |
normal price: R 6 379.95
Price: R 6 060.95
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| book description |
This book highlights how artificial intelligence (AI) is transforming the design, analysis, and application of polymers in modern science and industry. AI technologies, including machine learning (ML) and deep learning, have revolutionized the discovery, prediction, and optimization of polymers, enabling the rapid development of materials with specific properties suited for various applications such as healthcare, energy, and electronics. It covers the role of AI in understanding the relationship between the molecular structure of polymers and their physical, chemical, and mechanical properties. By integrating advanced AI models, the book demonstrates how new polymeric materials can be designed more efficiently, with tailored properties for targeted applications. It offers both theoretical and practical insights into AI algorithms, predictive modeling, polymer property analysis, and case studies.
| product details |
Normally shipped |
Publisher | Springer Verlag, Singapore
Published date | 15 May 2026
Language |
Format | Hardback
Pages | 229
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8195-8352-2
Readership Age |
BISAC | technology / material science
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