3 papers
cond-mat.soft2025
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…
cond-mat.soft2025
Metadensity functional theory for classical fluids: Extracting the pair potential
Stefanie M. Kampa, Florian Sammüller, Matthias Schmidt +1
The excess free energy functional of classical density functional theory depends upon the type of fluid model, specifically on the choice of (pair) potential, is unknown in general…
cond-mat.soft2024
Neural density functional theory of liquid-gas phase coexistence
Florian Sammüller, Matthias Schmidt, Robert Evans
We use supervised machine learning together with the concepts of classical density functional theory to investigate the effects of interparticle attraction on the pair structure, t…