1 to 10 of 46 Results
Feb 13, 2024 - SciML PDE Benchmark
Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This... |
Apr 20, 2023 - Publications
Pollinger, Theresa, 2022, "Replication Data for: A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations", https://doi.org/10.18419/darus-2790, DaRUS, V2
Replication data for advection, Landau damping, and two-stream instability experiments with mass-conserving basis functions (vs hat functions) in the combination technique. The simulations are based on the DisCoTec and SeLaLib codes. If you want to re-generate the numerical data,... |
Dec 6, 2022 - 3rd Physics Institute
Dasari, Durga, 2022, "Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements", https://doi.org/10.18419/darus-3262, DaRUS, V2, UNF:6:5LGVz9ukvWRrstHZVproWQ== [fileUNF]
Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of a subfigure. The experimental data is produced from the low temperature confocal microscopy setup measuring the fluorescence (photon count) of a color center in... |
Nov 10, 2022 - C03: Modelling of material injection processes into porous structures applied to vertebroplasty
Trivedi, Zubin; Gehweiler, Dominic; Wychowaniec, Jacek; Ricken, Tim; Gueorguiev, Boyko; Wagner, Arndt; Röhrle, Oliver, 2022, "Data for: A continuum mechanical porous media model for simulating vertebroplasty: Numerical simulations and experimental validation", https://doi.org/10.18419/darus-3146, DaRUS, V1, UNF:6:9AGAVPHk+q5ZPvv1MtUtuQ== [fileUNF]
This dataset includes experiment and simulation data used in the research described in the paper "A continuum mechanical porous media model for simulating vertebroplasty: Numerical simulations and experimental validation". The following data is included in the dataset: Experiment... |
Nov 2, 2022 - PN 5-6
Praditia, Timothy; Karlbauer, Matthias; Otte, Sebastian; Oladyshkin, Sergey; Butz, Martin V.; Nowak, Wolfgang, 2022, "Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network", https://doi.org/10.18419/darus-3249, DaRUS, V1
This dataset contains diffusion-sorption data, generated with numerical simulation based on three different sorption isotherms, namely the linear, Freundlich, and Langmuir isotherms. This dataset is used to train, validate, and test all the deep learning models that are used in t... |
Oct 28, 2022 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel; Hörl, Maximilian; Rohde, Christian, 2022, "Replication Data for: Flow in Porous Media with Fractures of Varying Aperture", https://doi.org/10.18419/darus-3227, DaRUS, V1
This data set contains the simulation data for the results presented 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]. We consider the numerical solution... |
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... |
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/darus-3115, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi... |
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3112, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi... |
Oct 28, 2022 - ThermoML
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/darus-3114, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experi... |
