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BestsellerE-book
Author Lelièvre, Tony.

Title Free energy computations : a mathematical perspective / Tony Lelièvre, Mathias Rousset, Gabriel Stoltz.

Publication Info. London ; Hackensack, N.J. : Imperial College Press, [2010]
©2010

Item Status

Description 1 online resource (xii, 458 pages) : illustrations
Physical Medium polychrome
Description text file
Bibliography Includes bibliographical references and index.
Summary This monograph provides a general introduction to advanced computational methods for free energy calculations, from the systematic and rigorous point of view of applied mathematics. Free energy calculations in molecular dynamics have become an outstanding and increasingly broad computational field in physics, chemistry and molecular biology within the past few years, by making possible the analysis of complex molecular systems. This work proposes a new, general and rigorous presentation, intended both for practitioners interested in a mathematical treatment, and for applied mathematicians inte.
Contents 1. Introduction. 1.1. Computational statistical physics : some landmarks. 1.2. Microscopic description of physical systems. 1.3. Free energy and its numerical computation. 1.4. Summary of the mathematical tools and structure of the book -- 2. Sampling methods. 2.1. Markov chain methods. 2.2. Continuous stochastic dynamics. 2.3. Convergence of sampling methods. 2.4. Methods for alchemical free energy differences. 2.5. Histogram methods -- 3. Thermodynamic integration and sampling with constraints. 3.1. Introduction : the alchemical setting. 3.2. The reaction coordinate case : configurational space sampling. 3.3. The reaction coordinate case : phase space sampling -- 4. Nonequilibrium methods. 4.1. The Jarzynski equality in the alchemical case. 4.2. Generalized Jarzynski-Crooks fluctuation identity. 4.3. Nonequilibrium stochastic methods in the reaction coordi-nate case. 4.4. Path sampling strategies -- 5. Adaptive methods. 5.1. Adaptive algorithms : a general framework. 5.2. Convergence of the adaptive biasing force method -- 6. Selection. 6.1. Replica selection framework. 6.2. Selection in adaptive methods.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Gibbs' free energy.
Gibbs' free energy.
Statistical physics -- Mathematical models.
Statistical physics -- Mathematical models.
Statistical physics.
Genre/Form Electronic books.
Electronic books.
Added Author Stoltz, Gabriel.
Rousset, Mathias, 1980-
Other Form: Print version: Lelièvre, Tony. Free energy computations. London ; Hackensack, N.J. : Imperial College Press, ©2010 9781848162471 (DLC) 2010005252 (OCoLC)244765923
ISBN 9781848162488 (electronic book)
1848162480 (electronic book)
9781848162471
1848162472