Molecular Kinetics in Condensed Phases: Theory, Simulation, and Analysis

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John Wiley & Sons, Dec 6, 2019 - Science - 288 pages

A guide to the theoretical and computational toolkits for the modern study of molecular kinetics in condensed phases

Molecular Kinetics in Condensed Phases: Theory, Simulation and Analysis puts the focus on the theory, algorithms, simulations methods and analysis of molecular kinetics in condensed phases. The authors – noted experts on the topic – offer a detailed and thorough description of modern theories and simulation methods to model molecular events. They highlight the rigorous stochastic modelling of molecular processes and the use of mathematical models to reproduce experimental observations, such as rate coefficients, mean first passage times and transition path times.

The book’s exploration of simulations examines atomically detailed modelling of molecules in action and the connections of these simulations to theory and experiment. The authors also explore the applications that range from simple intuitive examples of one- and two-dimensional systems to complex solvated macromolecules. This important book:

  • Offers an introduction to the topic that combines theory, simulation and analysis
  • Presents a guide written by authors that are well-known and highly regarded leaders in their fields
  • Contains detailed examples and explanation of how to conduct computer simulations of kinetics. A detailed study of a two-dimensional system and of a solvated peptide are discussed.
  • Discusses modern developments in the field and explains their connection to the more traditional concepts in chemical dynamics

Written for students and academic researchers in the fields of chemical kinetics, chemistry, computational statistical mechanics, biophysics and computational biology, Molecular Kinetics in Condensed Phases is the authoritative guide to the theoretical and computational toolkits for the study of molecular kinetics in condensed phases.

 

Contents

Cover
The Langevin Equation and Stochastic Processes
process
References
The Schrödinger Representation
Discrete Systems The Master Equation and Kinetic Monte Carlo
Path Integrals
Barrier Crossing
Definition and Computation
References
References
Diffusive Dynamics on a Multidimensional Energy Landscape
References
Instantons and Centroids
Foundation
References

Sampling Transition Paths

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About the author (2019)

Ron Elber is Professor of Chemistry at the University of Texas at Austin and W. A. "Tex" Moncrief, Jr. Endowed Chair in Computational Life Sciences and Biology in the Oden Institute for Computational Engineering and Sciences.

Dmitrii E. Makarov is Professor of Chemistry at the University of Texas at Austin. His research is in the field of computational and theoretical chemical physics.

Henri Orland is Directeur de Recherches at the Institut de Physique Théorique, the French Alternative Energies and Atomic Energy Commission, CEA, France.

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