Understanding extreme events and their probability is key for the study of climate change
impacts, risk assessment, adaptation, and the protection of living beings. Extreme …

The Ciona intestinalis voltage-sensing phosphatase (Ci-VSP) is a membrane protein
containing a voltage-sensing domain (VSD) that is homologous to VSDs from voltage-gated …

The treatment of slow and rare transitions in the simulation of complex systems poses a
great computational challenge. A powerful approach to tackle this challenge is the string …

In recent years, several climate subsystems have been identified that may undergo a
relatively rapid transition compared to the changes in their forcing. Such transitions are rare …

Rare events arising in nonlinear atmospheric dynamics remain hard to predict and attribute.
We address the problem of forecasting rare events in a prototypical example, sudden …

Transition path theory computes statistics from ensembles of reactive trajectories. A common
strategy for sampling reactive trajectories is to control the branching and pruning of …

Rare events play a crucial role in many physics, chemistry, and biology phenomena, when
they change the structure of the system, for instance in the case of multistability, or when …

Extreme weather events have significant consequences, dominating the impact of climate on
society. While high‐resolution weather models can forecast many types of extreme events …

We present a time-dependent variational method to learn the mechanisms of equilibrium
reactive processes and efficiently evaluate their rates within a transition path ensemble. This …

Estimating the likelihood, timing, and nature of events is a major goal of modeling stochastic
dynamical systems. When the event is rare in comparison with the timescales of simulation …