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.

• 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