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This book addresses the fundamental question of how computational simulations can be used to understand the behavior of polymer systems. Polymer science is a cornerstone of materials science and engineering, underpinning countless applications in industries ranging from plastics and textiles to pharmaceuticals and biotechnology. Understanding the behavior of polymers at the molecular level is crucial for designing innovative materials with tailored properties. However, the complexity of these systems demands advanced tools and techniques, which this book covers in-depth.

This book covers molecular dynamic simulations and how they can be used to understand the dynamics, structure, and thermodynamics of polymer systems. It details polymer crystallization theory, a process critical to a material's properties and applications, and discusses different aspects of crystallization, such as nucleation, growth, and morphology. Computational techniques, such as Monte Carlo simulations and molecular dynamics, used to simulate and analyze polymer systems are described. Readers are also presented with several exercises, applications, and case studies, including sample codes in Python and C++, showcasing how computer simulations can be used to understand polymeric materials.

This book is tailored to researchers in materials science, chemical engineering, and related fields, as well as graduate students seeking a comprehensive introduction to computational polymer science. It also serves as a valuable resource for industry professionals looking to use simulations in product development and innovation. It provides practical, hands-on guidance on computational simulations in complex polymer systems, empowering readers with the knowledge and skills needed to understand polymers and design novel materials.