We study the thermodynamic properties induced by non-reciprocal interactions between
stochastic degrees of freedom in time-and space-continuous systems. We show that, under …

We introduce a method to accurately and efficiently estimate the effective dynamics of
collective variables in molecular simulations. Such reduced dynamics play an essential role …

Generalized Langevin equations with non-linear forces and position-dependent linear
friction memory kernels, such as commonly used to describe the effective dynamics of …

The generalized Langevin equation is widely used to model the effective dynamics of
chemical, soft or biological systems. It is used to describe the evolution of a small number of …

To investigate the impact of non-linear interactions on dynamic coarse graining, we study a
simplified model system featuring a tracer particle in a complex environment. Using a …

We investigate a model for a Stirling-like engine consisting of a passive Brownian particle
confined by a harmonic potential and interacting with a suspension of active Brownian …

By now active Brownian motion is a well-established model to describe the motion of
mesoscopic self-propelled particles in a Newtonian fluid. On the basis of the generalized …

Linear algebra is central to many algorithms in engineering, science, and machine learning;
hence, accelerating it would have tremendous economic impact. Quantum computing has …

Optimizing the energy efficiency of driving processes provides valuable insights into the
underlying physics and is of crucial importance for numerous applications, from biological …

Langevin equations or generalized Langevin equations (GLEs) are popular models for
describing the motion of a particle in a fluid medium in an effective manner. Here we …