Helmholtz Institute Freiberg for Resource Technology
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Data publication of (radio)fluorinated and (radio)iodinated cyclic tyrosine analogues.
No full textThe document contains i) organic synthesis protocols, ii) NMR data, iii) radio-TLC data and iv) radio-HPLC chromatograms
Data publication: MOFs with 12-coordinate 5f-block metal centers
No full textAutoluminescence CO2 BET Elemental analysis Leaching test results Powder XRD TGA-DSC UV/vi
Software publication: Modeling COVID-19 optimal testing strategies in long-term care facilities: An optimization-based approach
No full textAlgorithm for computing the optimal testing strategy and reproducing the figures
Dataset for neutronics benchmark of NuScale-like core
No full textThis data set supplements the neutronics benchmark of the NuScale-like core. The data set includes spreadsheets with material compositions and the reference Serpent Monte Carlo solutio
Dataset for neutronics benchmark of NuScale-like core
No full textThis data set supplements the neutronics benchmark of the NuScale-like core. The data set includes spreadsheets with material compositions and the reference Serpent Monte Carlo solution
Data synchronizator of Where2test pipeline
No full textSoftware to synchonise the data between various data sources and casus database server. For Unix users please use MigrateWhere2test_2.0Unix.zip and for WIndows users please use MigrateWhere2test_2.0Win.zip. In order to use the scripts, please use the following instructions:
Windows
1. Create the postgreq sql database and set the port 5432.
2. Apply w2testRegion.sql to the Postgresql database. It creates the schema of the database.
3. Create folder C:\Workspaces and unzip the unix file.
4. Create folder in workspaces, com.com.casus.env.where2test.migration\COM_CASUS_WHERE2TEST_MIGRATION and then unzip the source file inside COM_CASUS_WHERE2TEST_MIGRATION.
5. Install requirement.txt. We use some python scripts for downloading and cleaning the data
6. Set the memory on the file MigrateWhere2test_run.bat minimal to 13 GB
7. Set run Develop and run the .bat file on the folder MigrateWhere2test_2.0Unix to run in localhost.
Unix
1. Create PostgreSQL with port 32771.
2. Apply w2testRegion.sql to the Postgresql database. It creates the schema of the database.
3. Create folder /home/wildan/Workspaces and unzip the unix file.
4. Open the file MigrateWhere2test/MigrateWhere2test_run.sh and change the mode "Default" by "Production"
5. Create folder in workspaces, com.com.casus.env.where2test.migration.unix/COM_CASUS_WHERE2TEST_MIGRATION and then unzip the source file inside COM_CASUS_WHERE2TEST_MIGRATION.
6. Install requirement.txt. We use some python scripts for downloading and cleaning the data
7. Set the memory on the file MigrateWhere2test_run.sh minimal to 13 GB
8. run the MigrateWhere2test_run.sh in the "Production" mode
Software for Bubble identification from images with machine learning methods
No full textThis package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.
Update
The Prediction_demo.ipynb includes now an example how to prepare the predictions for the tracking algorithm of "Fate of bubble clusters rising in a quiescent liquid". The tracking code can be found here
Software for Bubble identification from images with machine learning methods
No full textThis package contains the software and the trained models described in the publication "Bubble identification from images with machine learning methods". Please refer to the README.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration
Data for case studies about estimating measurement uncertainties
No full textThese data are supplementary material for the publication "Uncertainty Estimation for Measurement Data - A Practical Guide for Earth Scientists" in the journal Geostandards and Geoanalytical Research.
Data have uncertainties. Including a good estimate of the uncertainties for data analysis might significantly change the data interpretation. Therefore, high data quality is characterized by good accuracy of measurement results, but equally important by a good estimation of data uncertainty, which includes all relevant sources of dispersion of a measurement procedure. These data are example data sets for two case studies using uncertainty models based on replicated measurements. The case studies demonstrate how the models can be parameterized by using measurement data. The case studies are accompanied by code examples for the statistical programming language R
HZDR Multiphase Addon for OpenFOAM
No full textThe HZDR Multiphase Addon is a software publication released by Helmholtz-Zentrum Dresden-Rossendorf according to the FAIR principles (Findability, Accessibility, Interoperability, and Reuseability). It contains experimental research work for the open-source CFD software OpenFOAM, released by The OpenFOAM Foundation. The developments are dedicated to the numerical simulation of multiphase flows, in particular to the multi-field two-fluid model (Euler-Euler method). Within the OpenFOAM library the multiphaseEulerFoam framework is used for this type of simulation. The addon contains a modified solver named HZDRmultiphaseEulerFoam with the full support of the HZDR baseline model set for polydisperse bubbly flows. In addition a solver dedicated to a hybrid modelling approach (dispersed and resolved interfaces, Meller, Schlegel and Lucas, 2021) named cipsaMultiphaseEulerFoam is provided with the addon. This solver has an interface to the multiphaseEulerFoam framework and utilizes all available interfacial models of it.
General enhancements
modified turbulent wall functions of Menter according to Rzehak and Kriebitzsch (2015)
dynamic time step adjustment via PID controller
HZDRmultiphaseEulerFoam
bubble induced turbulence model of Ma et al. (2017)
drag model of Ishii and Zuber (1979) without correction for swarm and/or viscous effects
wall lubrication model of Hosokawa et al. (2002)
additional breakup and coalescence models for class method according to Kusters (1991) and Adachi et al. (1994)
degassing boundary condition (fvModel)
lift force correlation of Hessenkemper et al. (2021)
lift force correlation of Saffman (1965) as extended by Mei (1992).
aspect ratio correlation of Ziegenhein and Lucas (2017)
real pressure treatment via explicit turbulent normal stress according to Rzehak et al. (2021)
GPU-based accelerated computation of coalescence and breakup frequencies for the models of Lehr et al. (2002) (Petelin et al., 2021)
configuration files and tutorials for easy setup of baseline cases according to Hänsch et al. (2021)
cipsaMultiphaseEulerFoam
morphology adaptive modelling framework for predicting dispersed and resolved interfaces based on Eulerian multi-field two-fluid model
compact momentum interpolation method according to Cubero et al. (2014), including virtual mass
numerical drag according to Strubelj and Tiselj (2011) to describe resolved interfaces in a volume-of-fluid like manner
n-phase partial elimination algorithm for momentum equations to resolve strong phase coupling (Meller, Schlegel and Lucas, 2021)
free surface turbulence damping (Frederix et al., 2018) for k-ω SST - symmetric and asymmetric - according to Tekavčič et al. (2021)
sub-grid scale modelling framework (Meller, Schlegel and Klein, 2021)
additional LES models for the unclosed convective sub-grid scale term
closure models for sub-grid surface tension term
configuration files and tutorials for easy setup of hybrid casesThis work was supported by the Helmholtz European Partnering Program in the project "Crossing borders and scales (Crossing)