1 to 10 of 45 Results
May 20, 2025 - Institute of Applied Analysis and Numerical Simulation
Barthwal, Rahul; Rohde, Christian; Wang, Yue, 2025, "Software for "A generalized Riemann problem solver for a hyperbolic model governing two-layer thin film flow"", https://doi.org/10.18419/DARUS-5052, DaRUS, V1
In this project, we developed a Generalized Riemann solver for a hyperbolic model which governs first order dynamics of two-layer thin film flow under the influence of an anti-surfactant. The solver is a one-dimensional spatial-temporal coupled second-order finite-volume solver and can be utilized for further development. |
Apr 30, 2025 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Rautenbach, Ryan; Buntkiel, Lukas; Brouwers, Isabel Sophie; Gaugler, Lena; Barczyk, Jonas; Fitschen, Jürgen; Reinecke, Sebastian Felix; Hoffmann, Marko; Takors, Ralf; Hampel, Uwe; Schlüter, Michael, 2025, "Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations", https://doi.org/10.18419/DARUS-4529, DaRUS, V1, UNF:6:fMH8hRQzrPohnaAVW1nxLA== [fileUNF]
This DaRUS repository entails the raw files and result files (excluding MATLAB code files, see Gitlab repository including documentation) for the publication "Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations" in the journal "Chemical Engineering... |
Apr 11, 2025 - DuMux
Veyskarami, Maziar; Bozkurt, Kerem; Buntic, Ivan; Chen, Zhixin; Flemisch, Bernd; Ghosh, Tufan; Gläser, Dennis; Grüninger, Christoph; Heckel, Caroline; Hommel, Johannes; Kaiser, Lars; Keim, Leon; Kelm, Mathis; Kiemle, Stefanie; Koch, Timo; Kohlhaas, Rebecca; Kostelecky, Anna Mareike; Langhans, Vivien; Lipp, David; Ospina De Los Rios, Santiago; Oukili, Hamza; Schneider, Martin; Schollenberger, Theresa; Stadler, Leopold; Utz, Martin; Wang, Yue; Weiß, Fiona; Wendel, Kai; Werner, David; Winter, Roman; Wu, Hanchuan, 2025, "DuMux 3.10.0", https://doi.org/10.18419/DARUS-4975, DaRUS, V2
Release 3.10.0 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. |
Mar 15, 2025 - Model comparison for LTNE processes in porous media - conduction
Stefansson, Ivar, 2025, "PorePy code for REV simulations for: "Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects"", https://doi.org/10.18419/DARUS-4785, DaRUS, V1
This dataset contains the source code to reproduce the simulations for the REV-scale model presented in Kostelecky et al., Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Conduction effects, International Journal of Heat and Mass Transfer. \TODO: add doi after acceptance. Files REV_ltne.tar: compressed docker image (See... |
Dec 16, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "OncoTUM models", https://doi.org/10.18419/DARUS-4647, DaRUS, V1
OncoTUM models This repository hosts pretrained neural network models for OncoTUM, a key software package within the umbrella project Onco* for modelling and numerical simulations of tumours. OncoTUM is designed to facilitate tumour segmentations from medical images, leveraging state-of-the-art deep learning techniques. Purpose The pretrained model... |
Oct 18, 2024 - Model Order Reduction & Numerics
Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "dolfinx_eqlb v1.2.0", https://doi.org/10.18419/DARUS-4498, DaRUS, V1
This library contains an add-on to FEniCSx enabling local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of adaptive finite element solvers for the Poisson problem [5][8], elasticity [1][9] or poro-elasticity [2][10]. The equilibration process relies on so called patches, groups of all cells,... |
Oct 18, 2024 - Model Order Reduction & Numerics
Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "AFEM-by-Equilibration", https://doi.org/10.18419/DARUS-4500, DaRUS, V1
This repository showcases how adaptive finite element solvers using equilibration based a posteriori error estimates can be build. Therefore, FEniCSx [1] alongside with dolfinx_eqlb [2], an extension for efficient flux equilibration are used. Classical benchmarks for the Poisson problem and linear elasticity are shown. The here presented code can b... |
Oct 11, 2024 - Institute of Flight Mechanics and Controls
Cunis, Torbjørn; Olucak, Jan, 2024, "Implementation details and source code for CaΣoS: A nonlinear sum-of-squares optimization suite", https://doi.org/10.18419/DARUS-4499, DaRUS, V1
This dataset contains detailed information, source code, and benchmark tests for CaΣoS: A nonlinear sum-of-squares optimization suite. Please refer to the "supplementary.pdf" for more information. |
Sep 25, 2024 - Model Order Reduction & Numerics
Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "dolfinx_eqlb v1.1.0", https://doi.org/10.18419/DARUS-4479, DaRUS, V1
dolfinx_eqlb is an open source library, extending FEniCSx by local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of adaptive finite element solvers for the Poisson problem [1], elasticity [2][3][4] or poro-elasticity [5][6]. The flux equilibration relies on so called patches, groups of all ce... |
Sep 16, 2024 - Model Order Reduction & Numerics
Brodbeck, Maximilian; Bertrand, Fleurianne; Ricken, Tim, 2024, "dolfinx_eqlb v1.0.0", https://doi.org/10.18419/DARUS-4459, DaRUS, V1
dolfinx_eqlb is an open source library, extending FEniCSx by local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of adaptive finite element solvers for the Poisson problem [1], elasticity [2][3][4] or poro-elasticity [5][6]. The flux equilibration relies on so called patches, groups of all ce... |