We describe recent progress in the statistical mechanical description of many-body systems
via machine learning combined with concepts from density functional theory and many-body …

Contrary to continuous phase transitions, where renormalization group theory provides a
general framework, for discontinuous phase transitions such a framework seems to be …

We argue in favour of develo** a comprehensive dynamical theory for rationalizing,
predicting, designing, and machine learning nonequilibrium phenomena that occur in soft …

We reexamine results obtained with the recently proposed density functional theory
framework based on forces (force-DFT)[SM Tschopp, Phys. Rev. E 106, 014115 (2022) 2470 …

This review overviews common biopolymer modelling approaches ranging from chemically
specific to highly coarse-grained techniques, along with their application ranges, strengths …

We present a mesoscale description of deformations and defects in thin, flexible sheets with
crystalline order, tackling the interplay between in-plane elasticity, out-of-plane deformation …

We discuss an active phase field crystal (PFC) model that describes a mixture of active and
passive particles. First, a microscopic derivation from dynamical density functional theory is …

Biological cells have the ability to switch internal states depending on the density of other
cells in their local environment, referred to as “quorum sensing.” The latter can be utilized to …

Liquid crystals consisting of biaxial particles can exhibit a much richer phase behavior than
their uniaxial counterparts. Usually, one has to rely on simulation results to understand the …

In the past years, the amount of research on active matter has grown extremely rapidly, a fact
that is reflected in particular by the existence of more than 600 review articles on this topic …