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Springer Variational Methods in Molecular Modeling Book

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Description

Master the complexities of molecular modeling with this comprehensive guide from Springer. Part of the Molecular Modeling and Simulation series, this book provides tutorial overviews designed to help researchers and students apply variational methods to diverse many-body systems. By studying this text, you will gain a deep understanding of the Gibbs-Bogoliubov-Feynman variational principle, square-gradient models, and classical density functional theories. The content covers essential frameworks including self-consistent-field theories, phase-field methods, and Ginzburg-Landau and Helfrich-type phenomenological models. For those focused on dynamic systems and computational techniques, the book also explores dynamical density functional theory and variational Monte Carlo methods. Each section uses illustrative examples to help you grasp basic concepts and improve your ability to make quantitative predictions regarding the properties and behavior of complex molecular structures. This is an essential resource for anyone working in computer science and molecular simulation.

Key Features

Tutorial overviews for various applications of variational methods used in molecular modeling and simulation.

Covers advanced topics such as Gibbs-Bogoliubov-Feynman principles and square-gradient models.

Includes detailed discussions on classical density functional theories and self-consistent-field theories.

Provides instruction on phase-field methods and Ginzburg-Landau or Helfrich-type phenomenological models.

Explores dynamical density functional theory and variational Monte Carlo methods for computational research.

Uses illustrative examples to help readers understand basic concepts and predict many-body system behavior.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
23 December 2016
Listed Since
22 July 2016

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No barcode data available

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