Variational Methods in Molecular Modeling (Hardcover, 1st ed. 2017)

This book presents tutorial overviews for many applications of variational methods to molecular modeling. Topics discussed include the Gibbs-Bogoliubov-Feynman variational principle, square-gradient models, classical density functional theories, self-consistent-field theories, phase-field methods, Ginzburg-Landau and Helfrich-type phenomenological models, dynamical density functional theory, and variational Monte Carlo methods. Illustrative examples are given to facilitate understanding of the basic concepts and quantitative prediction of the properties and rich behavior of diverse many-body systems ranging from inhomogeneous fluids, electrolytes and ionic liquids in micropores, colloidal dispersions, liquid crystals, polymer blends, lipid membranes, microemulsions, magnetic materials and high-temperature superconductors. All chapters are written by leading experts in the field and illustrated with tutorial examples for their practical applications to specific subjects. With emphasis placed on physical understanding rather than on rigorous mathematical derivations, the content is accessible to graduate students and researchers in the broad areas of materials science and engineering, chemistry, chemical and biomolecular engineering, applied mathematics, condensed-matter physics, without specific training in theoretical physics or calculus of variations.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Molecular Modeling and Simulation
Release date:	December 2016
First published:	2017
Editors:	Jian Zhong Wu
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	324
Edition:	1st ed. 2017
ISBN-13:	978-981-10-2500-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Science & Mathematics > Chemistry > Physical chemistry > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
LSN:	981-10-2500-2
Barcode:	9789811025006

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!