31 to 34 of 34 Results
May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation
Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/darus-741, DaRUS, V1
This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset be... |
Sep 9, 2021 - Verification benchmarks for single-phase flow in three-dimensional fractured porous media
Gläser, Dennis, 2021, "Case 3 - Small Features", https://doi.org/10.18419/darus-2081, DaRUS, V1
This dataset contains results related to the benchmark case 3 as described in detail in the call for participation. The sub-folder "reference" contains solutions for pressure in both the fractures and the bulk porous matrix on five different refinement levels. The naming scheme i... |
Jan 28, 2020 - RootWaterUptake
Koch, Timo, 2020, "Benchmark C1.2 - Numerical results reference solution", https://doi.org/10.18419/darus-471, DaRUS, V1
Root water uptake simulation with a numerical scheme where the root-soil surface is explicitly resolved by the computational grid. The roots are a one-dimensional network grid embedded in a 3D soil domain. This dataset contains the grid files for root and soil. 8-day-old lupine,... |
Mar 25, 2024 - A01: Molecular detail in fluid simulations: Density Functional Theory within component and momentum balances
Bursik, Benjamin; Stierle, Rolf; Schlaich, Alexander; Rehner, Philipp; Gross, Joachim, 2024, "Additional Material: Viscosities of Inhomogeneous Systems from Generalized Entropy Scaling", https://doi.org/10.18419/darus-3769, DaRUS, V1
This data set contains data of three categories: 1) LAMMPS input files (.lammps), postprocessing python script (.py) and density and velocity profiles (.dat) from NEMD. 2) DFT three-dimensional density profiles (.npy) for all systems. 3) Jupyter notebooks (.ipynb) for the calcula... |