Modern generative machine learning models are able to create realistic outputs far beyond
their training data, such as photorealistic artwork, accurate protein structures or …

Entropy production is the hallmark of nonequilibrium physics, quantifying irreversibility,
dissipation, and the efficiency of energy transduction processes. Despite many efforts, its …

Active matter systems, from self-propelled colloids to motile bacteria, are characterized by
the conversion of free energy into useful work at the microscopic scale. They involve physics …

The name active matter refers to any collection of entities that individually use free energy to
generate their own motion and forces. Through interactions, active particles spontaneously …

Randomly moving active particles can be herded into directed motion by asymmetric
geometric structures. Although such a rectification process has been extensively studied due …

Within the Landau-Ginzburg picture of phase transitions, scalar field theories develop phase
separation because of a spontaneous symmetry-breaking mechanism. This picture works in …

We present the operational principle for a refrigerator that uses inertial effects in active
Brownian particles to locally reduce their (kinetic) temperature by 2 orders of magnitude …

In living systems, irreversible, yet stochastic, molecular interactions form multiscale
structures (such as cytoskeletal networks), which mediate processes (such as cytokinesis …

Observing stochastic trajectories with rare transitions between states, practically
undetectable on time scales accessible to experiments, makes it impossible to directly …

We study fluctuating field models with spontaneously emerging dynamical phases. We
consider two typical transition scenarios associated with parity-time symmetry breaking …