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Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering comprehensively presents the fundamentals of dissipative particle dynamics (DPD)?theoretical formulations and computational strategies, providing practical guidance on the application of DPD models to various colloidal and interfacial phenomena involving phase separations, self-assembly and transport in complex fluids, polymeric, surfactant, nanoparticle, and biological systems. In addition, the book contains instructive advice on efficient implementation of the DPD models in open-source computational packages. Since the introduction of the principles of DPD methodology, multiple efforts have been made to improve the computational basis of DPD, and to devise advanced versions and modifications. There are numerous research papers on this topic, but no books until now. Readers will find this to be a comprehensive reference source of multifaceted, interdisciplinary applications that provides practical guidance for efficient computational implementation.
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Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering comprehensively presents the fundamentals of dissipative particle dynamics (DPD)?theoretical formulations and computational strategies, providing practical guidance on the application of DPD models to various colloidal and interfacial phenomena involving phase separations, self-assembly and transport in complex fluids, polymeric, surfactant, nanoparticle, and biological systems. In addition, the book contains instructive advice on efficient implementation of the DPD models in open-source computational packages. Since the introduction of the principles of DPD methodology, multiple efforts have been made to improve the computational basis of DPD, and to devise advanced versions and modifications. There are numerous research papers on this topic, but no books until now. Readers will find this to be a comprehensive reference source of multifaceted, interdisciplinary applications that provides practical guidance for efficient computational implementation.