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421 to 430 of 16,240 Results

u.7 Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains Unknown - 120.0 MB - MD5: aff148ad54c74ad4981edb58ae89641b
u.8 Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains Unknown - 102.0 MB - MD5: 40ba0842e92e2c1990060d78ac2a5213
u.9 Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains Unknown - 108.0 MB - MD5: d455580d5a7149004b9bb1bdad7a5eca
Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures $Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$ Jan 14, 2025 - PN 1-X Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2 This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso...
Grid_Conv.tar.xz Jan 14, 2025 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures XZ Archive - 2.2 MB - MD5: 7f547fb50787e068753e2edd42f185cf
Python implementation of data-based estimation of critical time steps for explicit time integration Jan 10, 2025 - Institute for Structural Mechanics Willmann, Tobias; Schilling, Maximilian; Bischoff, Manfred, 2025, "Python implementation of data-based estimation of critical time steps for explicit time integration", https://doi.org/10.18419/DARUS-4558, DaRUS, V1 This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step estimation as described in the manuscript. It includes all data sets and code used in the preparation of this manuscript. This includes all resources required for the genera...
ImplementationData-basedEstimationOfCriticalTimeStepsForExplicitTimeIntegration.zip Jan 10, 2025 - Python implementation of data-based estimation of critical time steps for explicit time integration ZIP Archive - 6.0 GB - MD5: eafb6d0db0f67603df513166c0d82ba4 Zip archive containing all code and data for the related publication.
README.md Jan 10, 2025 - Python implementation of data-based estimation of critical time steps for explicit time integration Markdown Text - 7.2 KB - MD5: 239a8d45fc87e00084eccb3cb5c70481
Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures Dec 20, 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, V2 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 permeability, volumetric flux as well as local pressure and velocity fields f...
localdrag.tar.gz Dec 20, 2024 - Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures Gzip Archive - 110.2 KB - MD5: 9184f049d4cee0af1e10ea48529bf0f3 localdrag python module

u.7

Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains

Unknown - 120.0 MB -

u.8

Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains

Unknown - 102.0 MB -

u.9

Jan 15, 2025 - Parallel Lattice Boltzmann code for simulating single phase flows in porous domains

Unknown - 108.0 MB -

Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

$Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures$

Jan 14, 2025 - PN 1-X

Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2

This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso...

Grid_Conv.tar.xz

Jan 14, 2025 - Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

XZ Archive - 2.2 MB -

Python implementation of data-based estimation of critical time steps for explicit time integration

Jan 10, 2025 - Institute for Structural Mechanics

Willmann, Tobias; Schilling, Maximilian; Bischoff, Manfred, 2025, "Python implementation of data-based estimation of critical time steps for explicit time integration", https://doi.org/10.18419/DARUS-4558, DaRUS, V1

This is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step estimation as described in the manuscript. It includes all data sets and code used in the preparation of this manuscript. This includes all resources required for the genera...

ImplementationData-basedEstimationOfCriticalTimeStepsForExplicitTimeIntegration.zip

Jan 10, 2025 - Python implementation of data-based estimation of critical time steps for explicit time integration

ZIP Archive - 6.0 GB -

Zip archive containing all code and data for the related publication.

README.md

Jan 10, 2025 - Python implementation of data-based estimation of critical time steps for explicit time integration

Markdown Text - 7.2 KB -

Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures

Dec 20, 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, V2

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 permeability, volumetric flux as well as local pressure and velocity fields f...

localdrag.tar.gz

Dec 20, 2024 - Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures

Gzip Archive - 110.2 KB -

localdrag python module

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