activity
20232026
most citedMachine learning of a density functional for anisotropic patchy particles

27 citations · 34 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.soft2026

Superadiabatic Dynamical Density Functional Theory for One-Dimensional Brownian Hard-Rod Fluids

Jens Weimar, Daniel de las Heras, Martin Oettel

We study the relaxation dynamics of a one-dimensional system of hard rods at the level of one-body fields using superadiabatic dynamical density functional theory, and compare the…

cond-mat.stat-mech2026

Cubic-Equivariant Neural Density Functional Theory for Three-Dimensional Lattice Fluids

Jens Weimar, Martin Oettel, Alessandro Simon

We construct a neural classical density functional that acts directly on unrestricted three-dimensional density profiles. As a computationally tractable test bed, we consider paral…

cond-mat.stat-mech2025★ 7 cited

Neural Density Functional Theory in Higher Dimensions with Convolutional Layers

Felix Glitsch, Jens Weimar, Martin Oettel

Based on recent advancements in using machine learning for classical density functional theory for systems with one-dimensional, planar inhomogeneities, we propose a machine learni…

cond-mat.soft2024

Effective patchiness from critical points of a coarse-grained protein model with explicit shape and charge anisotropy

Jens Weimar, Frank Hirschmann, Martin Oettel

Colloidal model systems are successful in rationalizing emergent phenomena like aggregation, rheology and phase behaviour of protein solutions. Colloidal theory in conjunction with…

cond-mat.stat-mech2023★ 27 cited

Machine learning of a density functional for anisotropic patchy particles

Alessandro Simon, Jens Weimar, Georg Martius +1

Anisotropic patchy particles have become an archetypical statistical model system for associating fluids. Here we formulate an approach to the Kern-Frenkel model via classical dens…