Predictive Modeling in Polymer Science
Properties and Performance
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Product details:
- Publisher Elsevier Science
- Date of Publication 5 January 2026
- ISBN 9780443404535
- Binding Paperback
- No. of pages310 pages
- Size 235x191 mm
- Weight 450 g
- Language English 0
Categories
Long description:
Predictive Modeling in Polymer Science: Properties and Performance offers an in-depth look at contemporary techniques used to forecast polymer characteristics, emphasizing their cost-effectiveness and suitability for specific design and manufacturing needs. The book explores diverse prediction approaches and models, equipping readers with a thorough understanding of how polymers behave and perform under various conditions. Key material attributes-such as flammability, solubility, intrinsic viscosity, glass transition temperature, and refractive index-are examined, helping users appreciate the science behind optimizing polymer properties for superior material performance.
Beyond foundational methods, the book highlights practical strategies for designing polymers tailored to particular applications, ultimately saving research time and production resources. It serves as a comprehensive resource for scientists, engineers, and industry professionals seeking to predict, refine, and enhance polymer properties for innovative material solutions. By integrating theory with real-world examples, the guide supports informed decision-making in modern polymer science.
Table of Contents:
1. Different Approaches for Predicting the Properties of Polymers
2. Solubility of Polymers
3. Intrinsic (Limiting) Viscosity
4. Polymeric Material's Glass Transition Temperature
5. Dielectric Constant of Polymers
6. Polymer Refractive Index
7. Biopolymers
8. Energetic Polymers
9. Toxicity of Polymers
10. Flammability of Polymers
11. Shelf Life of Energetic Compounds Containing Polymers