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Molecular dynamics simulations in st...
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Kamberaj, Hiqmet.
Molecular dynamics simulations in statistical physicstheory and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Molecular dynamics simulations in statistical physicsby Hiqmet Kamberaj.
Reminder of title:
theory and applications /
Author:
Kamberaj, Hiqmet.
Published:
Cham :Springer International Publishing :2020.
Description:
xv, 463 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Statistical physics.
Online resource:
https://doi.org/10.1007/978-3-030-35702-3
ISBN:
9783030357023$q(electronic bk.)
Molecular dynamics simulations in statistical physicstheory and applications /
Kamberaj, Hiqmet.
Molecular dynamics simulations in statistical physics
theory and applications /[electronic resource] :by Hiqmet Kamberaj. - Cham :Springer International Publishing :2020. - xv, 463 p. :ill., digital ;24 cm. - Scientific computation,1434-8322. - Scientific computation..
Principles of Classical Mechanics -- Principles of Classical Thermodynamics -- Principles of Statistical -- Thermodynamics of Biological Phenomena -- Free Energy Calculation Methods Used in Computer Simulations -- Molecular Dynamics Methods in Simulations of Macromolecules -- Slow Collective Variables of Macromolecular Systems -- Information Theory and Statistical Mechanics -- Practical Aspects of Molecular Dynamics Simulations -- Sympletic and Time Reversible Integrator -- Index.
This book presents computer simulations using molecular dynamics techniques in statistical physics, with a focus on macromolecular systems. The numerical methods are introduced in the form of computer algorithms and can be implemented in computers using any desired computer programming language, such as Fortran 90, C/C++, and others. The book also explains how some of these numerical methods and their algorithms can be implemented in the existing computer programming software of macromolecular systems, such as the CHARMM program. In addition, it examines a number of advanced concepts of computer simulation techniques used in statistical physics as well as biological and physical systems. Discussing the molecular dynamics approach in detail to enhance readers understanding of the use of this method in statistical physics problems, it also describes the equations of motion in various statistical ensembles to mimic real-world experimental conditions. Intended for graduate students and research scientists working in the field of theoretical and computational biophysics, physics and chemistry, the book can also be used by postgraduate students of other disciplines, such as applied mathematics, computer sciences, and bioinformatics. Further, offering insights into fundamental theory, it as a valuable resource for expert practitioners and programmers and those new to the field.
ISBN: 9783030357023$q(electronic bk.)
Standard No.: 10.1007/978-3-030-35702-3doiSubjects--Topical Terms:
183716
Statistical physics.
LC Class. No.: QC174.8 / .K363 2020
Dewey Class. No.: 530.1595
Molecular dynamics simulations in statistical physicstheory and applications /
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Molecular dynamics simulations in statistical physics
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theory and applications /
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Principles of Classical Mechanics -- Principles of Classical Thermodynamics -- Principles of Statistical -- Thermodynamics of Biological Phenomena -- Free Energy Calculation Methods Used in Computer Simulations -- Molecular Dynamics Methods in Simulations of Macromolecules -- Slow Collective Variables of Macromolecular Systems -- Information Theory and Statistical Mechanics -- Practical Aspects of Molecular Dynamics Simulations -- Sympletic and Time Reversible Integrator -- Index.
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This book presents computer simulations using molecular dynamics techniques in statistical physics, with a focus on macromolecular systems. The numerical methods are introduced in the form of computer algorithms and can be implemented in computers using any desired computer programming language, such as Fortran 90, C/C++, and others. The book also explains how some of these numerical methods and their algorithms can be implemented in the existing computer programming software of macromolecular systems, such as the CHARMM program. In addition, it examines a number of advanced concepts of computer simulation techniques used in statistical physics as well as biological and physical systems. Discussing the molecular dynamics approach in detail to enhance readers understanding of the use of this method in statistical physics problems, it also describes the equations of motion in various statistical ensembles to mimic real-world experimental conditions. Intended for graduate students and research scientists working in the field of theoretical and computational biophysics, physics and chemistry, the book can also be used by postgraduate students of other disciplines, such as applied mathematics, computer sciences, and bioinformatics. Further, offering insights into fundamental theory, it as a valuable resource for expert practitioners and programmers and those new to the field.
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Physics and Astronomy (Springer-11651)
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EB QC174.8 .K15 2020 2020
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https://doi.org/10.1007/978-3-030-35702-3
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