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 …

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 …

Classical Nucleation Theory (CNT), linking rare nucleation events to the free-energy
landscape of a growing nucleus, is central to understanding phase-change kinetics in …

Extreme events provide relevant insights into the dynamics of climate and their
understanding is key for mitigating the impact of climate variability and climate change. By …

We apply two independent data analysis methodologies to locate stable climate states in an
intermediate complexity climate model and analyse their interplay. First, drawing from the …

Sufficiently thin liquid films on solid surfaces are often unstable to intermolecular forces and
it is commonly assumed that their rupture occurs via a linear instability mechanism in the so …

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 …

Transitional localized turbulence in shear flows is known to either decay to an absorbing
laminar state or to proliferate via splitting. The average passage times from one state to the …

Sticky Brownian motion is the simplest example of a diffusion process that can spend finite
time both in the interior of a domain and on its boundary. It arises in various applications in …