Transition state theory: a generalization to nonequilibrium systems with power-law distributions

Physics – Chemical Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages

Scientific paper

10.1016/j.physa.2011.11.009

Transition state theory (TST) is generalized for the nonequilibrium system with power-law distributions. The stochastic dynamics that gives rise to the power-law distributions for the reaction coordinate and momentum is modeled by the Langevin equations and corresponding Fokker-Planck equations. It is assumed that the system far away from equilibrium has not to relax to a thermal equilibrium state with Boltzmann-Gibbs distribution, but asymptotically approaches to a nonequilibrium stationary-state with power-law distributions. Thus, we obtain a generalization of TST rates to nonequilibrium systems with power-law distributions. Furthermore, we derive the generalized TST rate constants for one-dimension and n-dimension Hamiltonian systems away from equilibrium, and receive a generalized Arrhenius rate for the system with power-law distributions.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Transition state theory: a generalization to nonequilibrium systems with power-law distributions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Transition state theory: a generalization to nonequilibrium systems with power-law distributions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Transition state theory: a generalization to nonequilibrium systems with power-law distributions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-380113

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.