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Predictive Modeling in Polymer Science is written by Mohammad Hossein Keshavarz and published by Elsevier. It's available with International Standard Book Number or ISBN identification 0443404542 (ISBN 10) and 9780443404542 (ISBN 13).
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.• 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