1 to 10 of 71 Results
Nov 19, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Results for pseudo-3D Stokes simulations with a geometry-informed drag term formulation for porous media with varying apertures", https://doi.org/10.18419/darus-4347, DaRUS, V1
Content: This data set includes all the necessary input data to fully replicate the benchmarks and applications in Krach et al.(2024). In addition, the results for all solvers are provided as raw simulation output as well as in condense form. Complete datasets: 01_CYLINDER, 02_SI... |
Nov 19, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/darus-4313, DaRUS, V1
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeab... |
May 21, 2024 - I-07: Grid refinement methods for the Navier-Stokes equations
Lipp, Melanie, 2024, "Data for: Capturing local details in fluid-flow simulations: options, challenges and applications using marker-and-cell schemes", https://doi.org/10.18419/darus-4183, DaRUS, V1, UNF:6:QcsEz1/bUSYNlCnGc1KRxw== [fileUNF]
This dataset contains the data in the journal paper "Capturing local details in fluid-flow simulations: options, challenges and applications using marker-and-cell schemes" of Melanie Lipp, Martin Schneider and Rainer Helmig. Particularly, Fig. 5a plots the absolute values of colu... |
May 15, 2024
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Feb 16, 2024 - C-X5
Kiemle, Stefanie; Schneider, Jana; Heck, Katharina, 2024, "Replication data for analyzing stable water isotopologue transport within soils using fractionation parameterizations", https://doi.org/10.18419/darus-3572, DaRUS, V1
Replication data to reproduce the results presented in J. Schneider & S. Kiemle, K. Heck, Y. Rothfuss, I. Braud, R. Helmig, J. Vanderborght (2024) Analysis of Experimental and Simulation Data of Evaporation-Driven Isotopic Fractionation in Unsaturated Porous Media. (Under review)... |
Dec 11, 2023 - C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour
Lohrmann, Christoph; Holm, Christian, 2023, "Replication Data for: Lohrmann, Holm, Datta: Influence of bacterial motility and hydrodynamics on phage bacteria encounters", https://doi.org/10.18419/darus-3836, DaRUS, V1
Code and Data for "Influence of bacterial motility and hydrodynamics on phage bacteria encounters". For details, see README.md |
Oct 11, 2023 - NMR insights into nanoconfined water using the surface exchange model
Gravelle, Simon, 2023, "Molecular simulation scripts for slit nanopores with tunable hydrophilicity", https://doi.org/10.18419/darus-3732, DaRUS, V1
GROMACS molecular simulation input files for slit nanopores filled with liquid water. Initial configuration can be generated using the Python script build_system.py. Use the bash script run_gmx.sh to run GROMACS. See the README.md file. |
Oct 1, 2023C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour
Molecular dynamics input scripts for GROMACS, and data analysis scripts in Python. |
Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation
Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/darus-3244, DaRUS, V1
This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in p... |