Extreme events in fluid flows, waves, or structures interacting with them are critical for a wide
range of areas, including reliability and design in engineering, as well as modeling risk of …

The climate is a complex, chaotic system with many degrees of freedom. Attaining a deeper
level of understanding of climate dynamics is an urgent scientific challenge, given the …

Heat waves such as the one in Europe 2003 have severe consequences for the economy,
society, and ecosystems. It is unclear whether temperatures could have exceeded these …

The analysis of extremes in climate models is hindered by the lack of statistics due to the
computational costs required to run simulations long enough to sample rare events. We …

The formation of crystals has proven to be one of the most challenging phase
transformations to quantitatively model—let alone to actually understand—be it by means of …

This study investigates the possibility of Atlantic Meridional Overturning Circulation (AMOC)
noise-induced tipping solely driven by internal climate variability without applying external …

Multiple studies have now demonstrated that machine learning (ML) can give improved skill
for predicting or simulating fairly typical weather events, for tasks such as short-term and …

We test the application of a rare event simulation (RES) algorithm to accelerate the sampling
of extreme winter rainfall over Europe in a climate model. The genealogical particle analysis …

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 …

We present a method to probe rare molecular dynamics trajectories directly using
reinforcement learning. We consider trajectories that are conditioned to transition between …