Predictive Modeling in Polymer Science: Properties and Performance introduces the latest methods for predicting polymer properties and addressing cost-effectiveness and desirable properties for product design and production. The book discusses a range of prediction methods and models, providing a comprehensive overview of polymer behaviors and properties essential for material performance, such as flammability properties, solubility, intrinsic viscosity, glass transition temperatures, and refractive index. Readers will gain a deep understanding of predictive modeling techniques that enable the design of polymers with desired properties, saving time and resources.
This book provides a comprehensive guide for scientists, engineers, and industry professionals interested on predicting and optimizing polymer properties for material design.
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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
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Presents the latest methods in predictive modeling in polymer science to optimize material properties and enhance performance
Analyzes different theoretical models to guide readers toward the most effective methods for achieving desired polymer properties
Features computational models for determining the properties of polymers, especially those that haven't been synthesized or are newly synthesized
Reviews strengths and weaknesses of different computational models
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Produktdetaljer
ISBN
9780443404535
Publisert
2026-02-17
Utgiver
Elsevier - Health Sciences Division
Vekt
450 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
452
Forfatter