We developed a multiple state transition path sampling (TPS) approach in which it is possible to simultaneously sample pathways connecting a number of different stable states. Based on the original formulation of the TPS we have extended the path ensemble to include trajectories connecting not only two distinct stable states but any two states defined within a system. The multiple state TPS approach is useful in complex systems exhibiting a number of intermediate stable states that are interconnected in phase space. Combining this approach with transition interface sampling we can also directly obtain an expression for the rate constants of all possible transitions within the system
The multiple state transition interface sampling (TIS) framework in principle allows the simulation ...
Transition path sampling is a powerful technique for investigating rare transitions, especially when...
We develop two novel transition path sampling (TPS) algorithms for harvesting ensembles of rare even...
In the past 15 years transition path sampling (TPS) has evolved from its basic algorithm to an entir...
We introduce a novel transition path (TPS) sampling scheme employing nested sampling. Analogous to h...
We introduce a novel transition path (TPS) sampling scheme employing nested sampling. Analogous to h...
The multiple state transition path sampling method allows sampling of rare transitions between many ...
We derive a novel efficient scheme to measure the rate constant of transitions between stable states...
Transition path sampling techniques allow molecular dynamics simulations of complex systems to focus...
Abstract This article reviews the concepts and methods of transition path sampling. These methods al...
We propose a transition path sampling (TPS) scheme designed to enhance sampling in systems with mult...
Nearly 20 years ago, transition path sampling (TPS) emerged as an alternative method to free energy ...
We review two recently developed efficient methods for calculating rate constants of processes domin...
Transition states are defined as points in configuration space with the highest probability that tra...
Transition path sampling (TPS) was developed for studying activated processes in complex systems wit...
The multiple state transition interface sampling (TIS) framework in principle allows the simulation ...
Transition path sampling is a powerful technique for investigating rare transitions, especially when...
We develop two novel transition path sampling (TPS) algorithms for harvesting ensembles of rare even...
In the past 15 years transition path sampling (TPS) has evolved from its basic algorithm to an entir...
We introduce a novel transition path (TPS) sampling scheme employing nested sampling. Analogous to h...
We introduce a novel transition path (TPS) sampling scheme employing nested sampling. Analogous to h...
The multiple state transition path sampling method allows sampling of rare transitions between many ...
We derive a novel efficient scheme to measure the rate constant of transitions between stable states...
Transition path sampling techniques allow molecular dynamics simulations of complex systems to focus...
Abstract This article reviews the concepts and methods of transition path sampling. These methods al...
We propose a transition path sampling (TPS) scheme designed to enhance sampling in systems with mult...
Nearly 20 years ago, transition path sampling (TPS) emerged as an alternative method to free energy ...
We review two recently developed efficient methods for calculating rate constants of processes domin...
Transition states are defined as points in configuration space with the highest probability that tra...
Transition path sampling (TPS) was developed for studying activated processes in complex systems wit...
The multiple state transition interface sampling (TIS) framework in principle allows the simulation ...
Transition path sampling is a powerful technique for investigating rare transitions, especially when...
We develop two novel transition path sampling (TPS) algorithms for harvesting ensembles of rare even...