Computational Methods for the Multiscale Modeling of Soft Matter

Computational Methods for the Multiscale Modeling of Soft Matter offers a thorough overview of various simulation techniques essential for the study of soft materials. This book delves into numerical and molecular modeling methods, spanning multiple time and length scales. It is particularly valuable for postgraduate students and researchers in materials science, computational physics, chemistry, and chemical engineering. Alongside fundamental theoretical concepts, the book includes numerous examples from a wide range of soft materials, demonstrating how computational methods complement experimental characterization and significantly advance the manufacturing sector.Chapters illustrate how modeling techniques aid in interpreting experimental data and how experiments help parameterize models. The book also enables experts in one technique to transition to other tools more easily, which is increasingly important as multiscale tools become more sophisticated and accessible. It brings together diverse modeling approaches and applications, creating a comprehensive resource for understanding simulation methods for soft materials such as polymers, surfactants, and colloids. - Introduces the theoretical underpinnings of a broad range of soft matter modeling techniques - Demonstrates the critical assessment of the strengths and weaknesses of each of the techniques, including comparisons with experimental data when possible - Provides example applications to guide the reader through how techniques can be used in practice