Textbook in PDF format 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. Key features: 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. Different approaches for predicting the properties of polymers Solubility of polymers Intrinsic (limiting) viscosity Polymeric material’s glass transition temperature Dielectric constant of polymers Polymer refractive index Biopolymers Energetic polymers Toxicity of polymers Flammability of polymers Shelf life of energetic compounds containing polymers