Helmholtz Institute Freiberg for Resource Technology
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Multiphase Code Repository by HZDR for OpenFOAM Foundation Software
No full textThe Multiphase Code Repository by HZDR for OpenFOAM Foundation Software 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 software 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).Acknowledgement: OpenFOAM(R) is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM(R) software via www.openfoam.com. The Multiphase Code Repository by HZDR for OpenFOAM Foundation Software is not compatible with the software released by OpenCFD Limited, but is based on the software released by the OpenFOAM Foundation via www.openfoam.orgHighlights of the Multiphase Code Repository by HZDRHZDR Baseline Model: addonMultiphaseEuler solver with full support of the HZDR baseline model set for polydisperse bubbly flows, including configuration files and tutorials for simplified setup of Baseline cases (Hänsch et al., 2021).Morphology-adaptive Multifield Two-fluid Model (MultiMorph): cipsaMultiphaseEuler solver featuring a morphology-adaptive modelling approach (dispersed and resolved interfaces, Meller et al., 2021) with an interface to the multiphaseEuler framework to utilise all available interfacial models, and configuration files and tutorials for easy setup of cases with the MultiMorph Model.more ..
Influence of ionomer content on development of separation process for recycling of water electrolyzers (RAW data of the Master Thesis)
No full textThe files contain the raw data of the following Master Thesis:
Asadullahil Galib
Influence of ionomer content on development of separation process for recycling of water electrolyzers
TU Bergakademie Freiberg
Date of submission: 2023-08-0
Data publication: Idiomarina aminovorans sp. nov., a halophilic bacterium isolated from the Llamara salt pan in the Atacama Desert of northern Chile
No full textOD values meassured for the determination of growth ranges and optima as well as AAI value
DeflatedPCG: a PCG solver with special regularisation
No full textThe open dataset provides a PCG solver with special regularisation, which does not fix the field at one point, but its mean value instead
Multiphase Python Repository by HZDR
No full textThe python package provides several routines and scripts required to operate the code and cases repositories containing additional code and set-ups for the open-source software released by the OpenFOAM Foundation. This includes among others utilities for pre- and post-processing of simulation cases, utilities to launch virtual environments containing the source code, and utilities to operate the continuous integration and continuous development environment in a self-hosted Gitlab instance
Data publication: Hybrid Isentropic Twin Stars
No full textData for the figures of the publication on "Hybrid Isentropic Twin Stars" in ASCII format
Data publication: Development of [99mTc]TcO-ABX474: Design, Synthesis and biological Evaluation of PSMA-binding Technetium-99m radioligands for SPECT Imaging of Prostate Cancer
No full textDaten zur Radiosynthese der Tracer, einschließlich analytische Daten Daten zu Stabilitätsprüfungen der Tracer Daten zur biologischen Evaluierung (Autoradiographie
Real-world and OCN river networks
No full textThis dataset contains two folder with
i) Real-world river networks
ii) OCN river networks
ii) the metrics for i) and ii)
Please see structure of the dataset below:
|-- scalingrivers-data
|-- Metric results
|-- metrics_undirected_ocn.csv
|-- metrics_undirected_real.csv
|-- OCN networks
|-- ocn_networks.zip
|-- River networks
|-- river_networks.zip
|-- river_list.cs
Test data for MALA
No full textThis repository contains data to test, develop and debug MALA and MALA based runscripts. If you plan to do machine-learning tests ("Does this network implementation work? Is this new data loading strategy working?"), this is the right data to test with. It is NOT production level data
ComputableDAGs.jl
No full textRepresent computations as Directed Acyclic Graphs (DAGs), analyze and optimize them, then compile to native code and run