9 papers
Nonequilibrium scaling of drag forces in counterdriven fluid mixtures
Jonas Köglmayr, Jonas Köglmayr, Florian Sammüller +2
We address the effective nonequilibrium drag force field that emerges from the microscopic interparticle interactions in steady states of counterdriven binary fluid mixtures. Using…
Metadensity functional learning for classical fluids: Regularizing with pair correlations
Stefanie M. Kampa, Florian Sammüller, Matthias Schmidt
We investigate and exploit consequences of the recent neural metadensity functional theory [Kampa et al., Phys. Rev. Lett. 134, 107301 (2025), 10.1103/PhysRevLett.134.107301] for d…
Gauge invariance and hyperforce correlation theory for equilibrium fluid mixtures
Joshua Matthes, Silas Robitschko, Johanna Müller +3
We formulate gauge invariance for the equilibrium statistical mechanics of classical multi-component systems. Species-resolved phase space shifting constitutes a gauge transformati…
Determining the chemical potential via universal density functional learning
Florian Sammüller, Matthias Schmidt
We demonstrate that the machine learning of density functionals allows one to determine simultaneously the equilibrium chemical potential across simulation datasets of inhomogeneou…
Learning the bulk and interfacial physics of liquid-liquid phase separation with neural density functionals
Silas Robitschko, Florian Sammüller, Matthias Schmidt +1
We use simulation-based supervised machine learning and classical density functional theory to investigate bulk and interfacial phenomena associated with phase coexistence in binar…
Why gauge invariance applies to statistical mechanics
Johanna Müller, Florian Sammüller, Matthias Schmidt
We give an introductory account of the recently identified gauge invariance of the equilibrium statistical mechanics of classical many-body systems [J. Müller et al., Phys. Rev. L…