Understanding and predicting multiphase flows is of great relevance due to the ubiquitous
nature of such flows in both nature and in many industrial applications. Rapid development …

This article deals with approximating steady-state particle-resolved fluid flow around a fixed
particle of interest under the influence of randomly distributed stationary particles in a …

The development of interface-capturing methods (such as level-set, phase-field or volume of
fluid (VOF) methods) for arbitrary 3D grids has further highlighted the need for more accurate …

Estimation of interface curvature in surface-tension dominated flows is a remaining
challenge in Volume of Fluid (VOF) methods. Data-driven methods are recently emerging as …

In recent years, bubble segmentation and detection algorithms have significantly contributed
to the study of two-phase interface parameters. Nevertheless, high-quality bubbly flow image …

A machine learning (ML) based approach is proposed to hybridize two well-established
methods for multiphase flow simulations: the front tracking (FT) and the level set (LS) …

The plane–cube intersection problem has been discussed in the literature since 1984 and
iterative solutions to it have been used as part of piecewise linear interface construction …

The volume of fluid (VOF) method is a popular technique for the direct numerical simulations
of flows involving immiscible fluids. A discrete volume fraction field evolving in time …

We present a novel hybrid strategy based on machine learning to improve curvature
estimation in the level-set method. The proposed inference system couples enhanced …

The accurate reconstruction of immiscible fluid-fluid interfaces from the volume fraction field
is a critical component of geometric Volume of Fluid methods. A common strategy is the …