
9780443404535 Mohammad Hossein Keshavarz Elsevier 2026
Catergory: Technology, Engineering, Nonfiction
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
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📌 Keshavarz M. Predictive Modeling In Polymer Science. Properties.Perform. 2026.pdf (Mohammad Hossein Keshavarz) (2026) (9.07 MB)
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⭐️ Predictive Modeling In Polymer Science Properties Perform (2026) ✅ (10.07 MB)
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