Normal view MARC view ISBD view

Variational Methods in Molecular Modeling [electronic resource] / edited by Jianzhong Wu.

Contributor(s): Wu, Jianzhong [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Molecular Modeling and Simulation, Applications and Perspectives: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XII, 324 p. 69 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811025020.Subject(s): Mechanics, Applied | Solids | Chemistry—Data processing | Statistics  | Computer simulation | Biomathematics | Solid Mechanics | Computational Chemistry | Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Computer Modelling | Mathematical and Computational BiologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620.105 Online resources: Click here to access online
Contents:
Variational Methods in Statistical Thermodynamics – A Pedagogical Introduction -- Square-Gradient Models for Inhomogeneous Many-body Systems -- Classical Density Functional Theory for Molecular Systems -- Classical Density Functional Theory of Polymeric Fluids and Ionic Liquids -- Variational Perturbation Theory for Electrolyte Solutions -- Self-Consistent-Field Theory of Inhomogeneous Polymeric Systems -- Variational Methods for Biomolecular Modeling -- A Theoretician’s Approach to Nematic Liquid Crystals and Their Applications -- Dynamical Density Functional Theory for Brownian Dynamics of Colloidal Particles -- Introduction to the Variational Monte Carlo Method in Quantum Chemistry and Physics.
In: Springer Nature eBookSummary: 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.
    average rating: 0.0 (0 votes)
No physical items for this record

Variational Methods in Statistical Thermodynamics – A Pedagogical Introduction -- Square-Gradient Models for Inhomogeneous Many-body Systems -- Classical Density Functional Theory for Molecular Systems -- Classical Density Functional Theory of Polymeric Fluids and Ionic Liquids -- Variational Perturbation Theory for Electrolyte Solutions -- Self-Consistent-Field Theory of Inhomogeneous Polymeric Systems -- Variational Methods for Biomolecular Modeling -- A Theoretician’s Approach to Nematic Liquid Crystals and Their Applications -- Dynamical Density Functional Theory for Brownian Dynamics of Colloidal Particles -- Introduction to the Variational Monte Carlo Method in Quantum Chemistry and Physics.

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.

There are no comments for this item.

Log in to your account to post a comment.