501 to 510 of 679 Results
Jan 26, 2023 - DuMux
Kelm, Mathis; Ackermann, Sina; Buntic, Ivan; Coltman, Edward; Flemisch, Bernd; Gläser, Dennis; Grüninger, Christoph; Heck, Katharina; Hommel, Johannes; Keim, Leon; Kiemle, Stefanie; Koch, Timo; Lipp, Melanie; Schneider, Martin; Schollenberger, Theresa; Stadler, Leopold; Utz, Martin; Veyskarami, Maziar; Wang, Yue; Wendel, Kai; Werner, David; Wu, Hanchuan, 2023, "DuMux 3.6.0", https://doi.org/10.18419/DARUS-3247, DaRUS, V1
Release 3.6.0 of DuMux, DUNE for Multi-{Phase, Component, Scale, Physics, ...} flow and transport in porous media. DuMux is a free and open-source simulator for flow and transport processes in and around porous media. It is based on the Distributed and Unified Numerics Environment DUNE. |
Jan 26, 2023 -
DuMux 3.6.0
Gzip Archive - 28.8 MB -
MD5: 17b79c3cb624c650799303cf15a0ae37
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Dec 7, 2022 - Cyclorotor
Schließus, Julian; Gagnon, Louis, 2022, "Data for: Create a Fluid-Structure Simulation Framework for Cycloidal Rotors", https://doi.org/10.18419/DARUS-2232, DaRUS, V2
OpenFOAM simulation case files and results accompanying the article having the same title are included. The pressure and velocity fields could be visualized by using Paraview. The cases are described in the Bachelor Thesis referenced under Related Publication. For details how to use and access the data and code, please see the instructions in the f... |
Gzip Archive - 4.8 MB -
MD5: c94fb54e67ee8ea3539fca2adc2ee57b
Base case setup |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Source Code for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/DARUS-3012, DaRUS, V1
Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, https://doi.org/10.48550/arXiv.2207.09301]. The contained Python package "mmdgpy" is an implementation of interior penalty discontinuous Galerkin (dG) schemes in 2D and 3D f... |
Shell Script - 245 B -
MD5: 0bbed9e11ddfc8a5b237a990906f8d9a
installation script |
Gzip Archive - 34.2 KB -
MD5: da128f7d2b751d962699684242e15c5a
source code |
Oct 26, 2022 - Projects without PN Affiliation
Davis, Kyle; Schulte, Miriam, 2022, "Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps", https://doi.org/10.18419/DARUS-3184, DaRUS, V1
This dataset provides all python3 code necessary to train convolutional neural networks built with pyTorch, as well as the data to train the networks. A README file is provided with instructions for accessing the training data, viewing the alread computed models, and all software dependency versions. |
Oct 26, 2022 -
Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps
Python Source Code - 8.2 KB -
MD5: 5420869a7ca34ac2b7a71749dcf2145c
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Oct 26, 2022 -
Replication Data for: Geothermal-ML - predicting thermal plume from groundwater heat pumps
Gzip Archive - 406.8 MB -
MD5: 546150f2eb93e82729ac0279a15326c1
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