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Stochastic and Dynamic Views of Chemical Reaction Kinetics in Solutions


From Alexander M. Kuznetsov


PPUR - Collection: Cahiers de chimie - 3th edition - 1999-05-27

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The book is devoted to the stochastic approach to the theoretical description of chemical reaction kinetics in condensed phase, based on Langevin or Fokker-Planck equations for the motion along the reaction coordinate. This method is often opposed to the 'dynamic' one, used in the works on quantum mechanical theory of non-adiabatic reactions, although in fact they are not antagonists. The goal of the book is to describe both approaches and to demonstrate the relationship between them. The book involves an introduction into stochastic methods for charge transfer reactions and presents a detailed comparison of new approaches with more traditional ones.


  • Preface
  • Introduction
  • General description of stochastic processes: Stochastic processes in life and nature
  • Distribution functions
  • Markovian process
  • Chemical reactions in condensed phase: a stochastic view: Stochastic approach to chemical reaction kinetics
  • Classical transitions over one-dimensional potential barrier
  • Stochastic views of electron transfer recations
  • Adiabatic and non-adiabatic electron transitions in stochastic approach
  • Classical stochastic motion in multidimensional reactive mode set
  • Classical transitions in the two-mode system
  • Application of multidimensional stochastic description to the electron transfer
  • Proton transfer
  • Atom and atomic group transfer in polar solvent
  • Dynamic models of stochastic behaviour: Stochastic behavior evolving from dynamic models
  • Effective hamiltonian method in electron transfer processes
  • Ionic dynamics in polar solvent
  • Rates of non-adiabatic reactions
  • Equivalence of stochastic and dynamic description
  • Dynamic and stochastic effects in bridge-assisted electron transfer
  • Appendices A-N, References.
  • Information

Available media

  • Paper book

    layout 150 x 210, 280 pagesOut of stock

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