The complex flow modeling based on machine learning is becoming a promising way to
describe multiphase fluid systems. This work demonstrates how a physics-informed neural …

Turbulent flows laden with large, deformable drops are ubiquitous in nature and in a wide
range of industrial processes. Prediction of the interactions between drops, which deform …

Mechanical contact between solids is almost exclusively modeled in Lagrangian
frameworks. While these frameworks have been developed extensively and applied …

This paper reviews differences between the deterministic (sharp and diffuse) and statistical
models of the interphase region between the two-phases. In the literature this region is …

Surfactants play a critical role in the physics of paint and coating formulations, affecting key
rheological properties such as viscosity, yield stress, and thixotropy. This paper proposes a …

Capturing the relaxation of a capillary interface towards its equilibrium profile is pivotal for
accurate simulations of two-phase flow at high dynamics using the phase-field method. The …

In this paper, two discrete unified gas-kinetic scheme (DUGKS) methods with piecewise-
parabolic flux reconstruction are presented for the conservative Allen-Cahn equation …

In this study, a modified Cahn–Hilliard equation with a very simple format was proposed,
which can be used to simulate immiscible multi-component/multiphase flow with a super …

Phase-field modeling has become a powerful tool in describing the complex pore-structure
evolution and the intricate multiphysics in nonisothermal sintering processes. However, the …

Currently, all popular 3D printing inks exhibit Herschel-Bulkley (HB) fluid characteristics.
However, the filament spreading, which reduces printing precision, decelerates the …