Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has been used successfully in high-dimensional stochastic simulations to identify trajectories across a high potential barrier separating one metastable state from another, and to estimate the probability of observing such a trajectory. An attractive feature of AMS is that, in the limit of a large number of replicas, it remains valid regardless of the choice of reaction coordinate used to characterize the trajectories. Previous studies have shown AMS to be accurate in Monte Carlo simulations. In this study, we extend the application of AMS to molecular dynamics simulations and demonstrate its effectiveness using a simple test system. Our conclusion paves ...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
This dissertation presents three research projects on novel methods in computational bio- physics. E...
International audienceMultilevel Splitting, also called Subset Simulation, is a Sequential Monte Car...
Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Abstract. Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Abstract. Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
International audienceAdaptive multilevel splitting (AMS) is a rare event sampling method that requi...
International audienceThis article first presents a short historical perpective of the importance sp...
In stochastic dynamical systems, such as those encountered in molecular dynamics, rare events natura...
International audienceThe Adaptive Multilevel Splitting (AMS) algorithm is a powerful and versatile ...
Dans les systèmes dynamiques aléatoires, tels ceux rencontrés en dynamique moléculaire, les événemen...
International audienceIn the Monte Carlo simulation of particle transport, and especially for shield...
Stochastic nonlinear dynamical systems can undergo rapid transitions relative to the change in their...
I will present some numerical challenges raised by the simulation of materials at the atomistic leve...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
This dissertation presents three research projects on novel methods in computational bio- physics. E...
International audienceMultilevel Splitting, also called Subset Simulation, is a Sequential Monte Car...
Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Abstract. Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
Abstract. Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has...
International audienceAdaptive multilevel splitting (AMS) is a rare event sampling method that requi...
International audienceThis article first presents a short historical perpective of the importance sp...
In stochastic dynamical systems, such as those encountered in molecular dynamics, rare events natura...
International audienceThe Adaptive Multilevel Splitting (AMS) algorithm is a powerful and versatile ...
Dans les systèmes dynamiques aléatoires, tels ceux rencontrés en dynamique moléculaire, les événemen...
International audienceIn the Monte Carlo simulation of particle transport, and especially for shield...
Stochastic nonlinear dynamical systems can undergo rapid transitions relative to the change in their...
I will present some numerical challenges raised by the simulation of materials at the atomistic leve...
Machine learning (ML) has emerged as a pervasive tool in science, engineering, and beyond. Its succe...
This dissertation presents three research projects on novel methods in computational bio- physics. E...
International audienceMultilevel Splitting, also called Subset Simulation, is a Sequential Monte Car...