Variational Methods in Molecular Modeling is popular PDF and ePub book, written by Jianzhong Wu in 2016-12-17, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Variational Methods in Molecular Modeling can be Read Online from any device for your convenience.

Variational Methods in Molecular Modeling Book PDF Summary

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.

Detail Book of Variational Methods in Molecular Modeling PDF

Variational Methods in Molecular Modeling
  • Author : Jianzhong Wu
  • Release : 17 December 2016
  • Publisher : Springer
  • ISBN : 9789811025020
  • Genre : Science
  • Total Page : 324 pages
  • Language : English
  • PDF File Size : 7,9 Mb

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