cDFT LAB
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Our logo is a Mayer f-bond,
Classical density functional theory (cDFT) & learned functionals for fluids.
- Physics-first: variational structure, nonlocality, reproducible numerics.
- Learning augments the baseline; it does not replace the physics.
- Focus: bridging particle and continuum scales.
- Paper artefacts: reproducible scripts/configs to regenerate figures & tables.
- Core toolbox: solvers, reference functionals, discretisation utilities.
- Learned components: constrained corrections (kernels, EOS scalers, parameter maps).
- Learning Density Functionals to Bridge Particle and Continuum Scales (Monti, Yatsyshin, et al.)
- Edoardo Monti
- Peter Yatsyshin