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1 to 4 of 4 Results
Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns
Feb 7, 2023 - Summerschool2021_4D_EICP
Lee, Dongwon; Weinhardt, Felix; Hommel, Johannes; Class, Holger; Steeb, Holger, 2023, "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", https://doi.org/10.18419/darus-2227, DaRUS, V1
The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted experiments. The experiment was performed on two Borosillicates Glass beads Columns (BGC). The images were ta...
Supplementary material for 'An atomistic view on the uptake of aromatic compounds by cyclodextrin immobilized on mesoporous silica'
Mar 9, 2022 - Molecular Simulation
Kraus, Hamzeh; Hansen, Niels, 2022, "Supplementary material for 'An atomistic view on the uptake of aromatic compounds by cyclodextrin immobilized on mesoporous silica'", https://doi.org/10.18419/darus-2154, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter files are provided for all simulations conducted within the paper. The simulation is divided into three steps, an energy-minimizati...
Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake
Jul 6, 2021 - RootWaterUptake
Koch, Timo; Wu, Hanchuan; Schneider, Martin, 2021, "Replication Data for: Nonlinear mixed-dimension model for embedded tubular networks with application to root water uptake", https://doi.org/10.18419/darus-2042, DaRUS, V1
This dataset contains scripts and data used to reproduce the results in the related publication (Koch et al. 2021). In detail, it contains data and scripts to show the effect of the Kirchhoff transformation for diffusion coefficients; convergence results for single and mutiple tu...
NMTVis - Trained Models for our Visual Analytics System
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/darus-1850, DaRUS, V1
Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture.
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