Name: Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering (en Inglés)
SKU: 66285262
Price: 223.29 USD
Availability: InStock
Author: Neimark, Alexander V.; Santo, Kolattukudy P.
ISBN: 9780443136658

portada Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering (en Inglés)

Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Neimark, Alexander V.; Santo, Kolattukudy P.

Idioma

Inglés

N° páginas

388

Encuadernación

Tapa Blanda

Dimensiones

23.7x19.1x1.9 cm

ISBN13

9780443136658

Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering (en Inglés)

Neimark, Alexander V.; Santo, Kolattukudy P. (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Dissipative Particle Dynamics: Fundamentals and Applications in Soft Matter Science and Engineering (en Inglés)"

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.