Consistent and symmetry preserving data-driven interface reconstruction for the level-set method

A data-driven physics-informed finite-volume scheme for nonclassical undercompressive shocks

(2021) Deniz A. Bezgin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine‐learning‐based surface tension model for multiphase flow simulation using particle method

(2020) Xiaoxing Liu et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Computing interface curvature from volume fractions: A machine learning approach

(2019) H.V. Patel et al.   COMPUTERS & FLUIDS

Deep neural networks for data-driven LES closure models

(2019) Andrea Beck et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Numerical Models of Surface Tension

(2018) Stéphane Popinet   Annual Review of Fluid Mechanics

Computing curvature for volume of fluid methods using machine learning

(2018) Yinghe Qi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A conservative sharp interface method for incompressible multiphase flows

(2015) J. Luo et al.   JOURNAL OF COMPUTATIONAL PHYSICS

On reinitializing level set functions

(2010) Chohong Min   JOURNAL OF COMPUTATIONAL PHYSICS

Quantitative benchmark computations of two-dimensional bubble dynamics

(2008) S. Hysing et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS