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

27 citations · 30 across the 5 of their papers we have counts for

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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-mech2026

Free-volume origin of diverging direct correlations in hard crystals: insights from an exact one-dimensional model

Alessandro Simon, Martin Oettel

Second order direct correlation functions in three-dimensional hard-sphere crystals have much larger amplitudes (of the order of where is th…

cond-mat.stat-mech2026

Density Profiles and Direct Correlation Functions from Density Functional Theory in Binary Hard-Sphere Crystals: Substitutional Solid and Interstitial Solid Solution

Alessandro Simon, Martin Oettel

We determine the fully resolved equilibrium density profiles for two binary hard-sphere crystal structures using classical density functional theory through the White Bear II funct…

cond-mat.stat-mech2024★ 3 cited

Machine Learning approaches to classical density functional theory

Alessandro Simon, Martin Oettel

In this chapter, we discuss recent advances and new opportunities through methods of machine learning for the field of classical density functional theory, dealing with the equilib…

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…