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.
Sprache
Verlagsort
Verlagsgruppe
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Maße
Höhe: 233 mm
Breite: 156 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-1-119-17677-0 (9781119176770)
Schweitzer Klassifikation
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.
Autor*in
University of Illinois at Urbana-Champaign
Chapter I: The Langevin Equation and Stochastic Processes
Chapter II: The Fokker-Planck Equation
Chapter III: The Schrödinger Representation III. The Schrödinger Representation
Chapter IV: Discrete Systems: The Master Equation and Kinetic Monte Carlo
Chapter V: Path Integrals
Chapter VI: Barrier Crossing
Chapter VII: Sampling Transition Paths
Chapter VIII: The Rate of Conformational Change: Definition and Computation
Chapter Ix: Zwanzig-Caldeiga-Leggett Model for Low-Dimensional Dynamics
Chapter X: Escape From A Potential Well In the Case of Dynamics Obeying the Generalized Langevin Equation: General Solution Based on the Zwanzig-Caldeira-Leggett Hamiltonian.
Chapter Xi: Diffusive Dynamics on a Multidimensional Energy Landscape
Chapter Xii: Quantum Effects In Chemical Kinetics
Chapter XIII: Computer Simulations of Molecular Kinetics: Foundation
Chapter XIV: The Master Equation as a Model for Transitions Between Macrostates
Chapter XV: Direct Calculation of Rate Coefficients With Computer Simulations
Chapter XVI: A Simple Numerical Example of Rate Calculations
Chapter XVII: Rare Events and Reaction Coordinates
Chapter XVIII: Celling
Chapter XIX: An Example of the Use of Cells: Alanine Dipeptide
