Transition states are defined as points in configuration space with the highest probability that trajectories passing through them are reactive (i.e., form transition paths between reactants and products). In the high-friction (diffusive) limit of Langevin dynamics, the resulting ensemble of transition states is shown to coincide with the separatrix formed by points of equal commitment (or splitting) probabilities for reaching the product and reactant regions. Transition states according to the new criterion can be identified directly from equilibrium trajectories, or indirectly by calculating probability densities in the equilibrium and transition-path ensembles using umbrella and transition-path sampling, respectively. An algorithm is pro...
Transition path theory (TPT) has been recently introduced as a theoretical framework to describe the...
We introduce a new approach to evaluate transition rates for rare events in complex many-particle sy...
We are interested in the connection between a metastable continuous state space Markov process (sati...
We derive several distribution functions for the recently introduced reweighted path ensemble [Rogal...
We construct a statistical theory of reactive trajectories between two pre-specified sets A and B, i...
We review two recently developed efficient methods for calculating rate constants of processes domin...
We develop two novel transition path sampling (TPS) algorithms for harvesting ensembles of rare even...
The framework of transition path theory (TPT) is developed in the context of continuous-time Markov...
© 2005 American Institute of Physics. The electronic version of this article is the complete one and...
Over the last years, a new geometrical perspective on transition state theory has been developed tha...
Using tools of statistical mechanics, it is routine to average over the distribution of microscopic ...
Two different methods for transition-state theory (TST) rate calculations are presented that use the...
We present three algorithms for calculating rate constants and sampling transition paths for rare ev...
In this thesis, we present the framework of transition path theory (TPT) for time continuous Markov ...
In the past 15 years transition path sampling (TPS) has evolved from its basic algorithm to an entir...
Transition path theory (TPT) has been recently introduced as a theoretical framework to describe the...
We introduce a new approach to evaluate transition rates for rare events in complex many-particle sy...
We are interested in the connection between a metastable continuous state space Markov process (sati...
We derive several distribution functions for the recently introduced reweighted path ensemble [Rogal...
We construct a statistical theory of reactive trajectories between two pre-specified sets A and B, i...
We review two recently developed efficient methods for calculating rate constants of processes domin...
We develop two novel transition path sampling (TPS) algorithms for harvesting ensembles of rare even...
The framework of transition path theory (TPT) is developed in the context of continuous-time Markov...
© 2005 American Institute of Physics. The electronic version of this article is the complete one and...
Over the last years, a new geometrical perspective on transition state theory has been developed tha...
Using tools of statistical mechanics, it is routine to average over the distribution of microscopic ...
Two different methods for transition-state theory (TST) rate calculations are presented that use the...
We present three algorithms for calculating rate constants and sampling transition paths for rare ev...
In this thesis, we present the framework of transition path theory (TPT) for time continuous Markov ...
In the past 15 years transition path sampling (TPS) has evolved from its basic algorithm to an entir...
Transition path theory (TPT) has been recently introduced as a theoretical framework to describe the...
We introduce a new approach to evaluate transition rates for rare events in complex many-particle sy...
We are interested in the connection between a metastable continuous state space Markov process (sati...