30 citations · 33 across the 6 of their papers we have counts for
8 papers
Deogen: Automatic Benchmark Generation for Reasoning over Policies
Sam Kouteili, William Liang, Keeran Murray +4
Language models are increasingly being deployed in regulated settings, where a model must apply given rules to the facts of a situation to determine a verdict. Benchmarking this ca…
Benchmark of no-slip boundary conditions for meshless Lattice Boltzmann Method in Stokes flow
Dawid Strzelczyk, Pavel Eichler, Maciej Matyka
The introduction of the approximated streaming to the standard Lattice Boltzmann Method (LBM) decouples the space and velocity discretizations. Although many no-slip implementation…
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…
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…
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…
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…
Study of the convergence of the Meshless Lattice Boltzmann Method in Taylor-Green and annular channel flows
Dawid Strzelczyk, Maciej Matyka
The Meshless Lattice Boltzmann Method (MLBM) is a numerical tool that relieves the standard Lattice Boltzmann Method (LBM) from regular lattices and, at the same time, decouples sp…
Deep learning for diffusion in porous media
Krzysztof M. Graczyk, Dawid Strzelczyk, Maciej Matyka
We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Two different media types are considered: one mimics the sand packings, and the ot…