Predictive Modeling in Polymer Science

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