Stochasticity can play an important role in the dynamics of biologically relevant populations.
These span a broad range of scales: from intra-cellular populations of molecules to …

The physics of non-equilibrium many-body systems is a rapidly expanding area of
theoretical physics. Traditionally employed in laser physics and superconducting kinetics …

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 …

A statistical theory of rogue waves is proposed and tested against experimental data
collected in a long water tank where random waves with different degrees of nonlinearity are …

An overview of rare event algorithms based on large deviation theory (LDT) is presented. It
covers a range of numerical schemes to compute the large deviation minimizer in various …

Active work measures how far the local self-forcing of active particles translates into real
motion. Using population Monte Carlo methods, we investigate large deviations in the active …

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 …

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 …

Many turbulent flows undergo drastic and abrupt configuration changes with huge impacts.
As a paradigmatic example we study the multistability of jet dynamics in a barotropic beta …

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 …