collaborators

5 papers

cs.LG2026

Physics-informed convolutional neural networks for fluid flow through porous media

Rafał Topolnicki, Paweł Dłotko, Maciej Matyka

Accurate simulation of fluid flow in porous media is challenging due to complex pore-space geometries and the computational cost of solving the Navier-Stokes equations. This diffic…

physics.flu-dyn2025

The role of porosity in the transition to inertial regime in porous media flows

Dawid Strzelczyk, Gregor Kosec, Maciej Matyka

In this work, we investigate the fundamental physical mechanism of the transition from Darcy to inertial (Darcy-Forchheimer) regime in steady-state flows through porous media, with…

physics.flu-dyn2025

Cross-validation of meshless Navier-Stokes solvers in porous media flows

Dawid Strzelczyk, Miha Rot, Gregor Kosec +1

In this paper, two mesh-free CFD solvers for pore-scale fluid flow through porous media are considered, namely the Lattice Boltzmann Method with the two relaxation time collision t…

physics.flu-dyn2025

Inertial effects on fluid flow through low-porosity media

Sahrish Batool Naqvi, Damian Śnieżek, Dawid Strzelczyk +2

We investigated the nonlinear effects of gravity-driven fluid flow through a two-dimensional, low-porosity, packed bed of stubby stone grains. We focused on preferential channel fo…

physics.flu-dyn2024

Modeling inertial flows with meshless Lattice Boltzmann Method

Dawid Strzelczyk, Maciej Matyka

One of the limitations of the Lattice Boltzmann Method in simulating inertial flows is the coupling of the discretization of space to the velocity discretization. It requires an in…