Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data Publication: Structural and Transport Properties of Thick and Thin Cr2AlC Films
No full textData for paper already published
DigiFlot: a modular laboratory assistant tailored for froth flotation experiments
No full textA modular laboratory assistant tailored for froth flotation experiment
Gas-liquid distribution in the froth zone on cross-flow trays – Raw data
No full textFor the purpose of investigating the phase distribution on different cross-flow trays, experiments were carried out using a 1.2 m diameter tray column test rig at the Technical University of Munich. The experimental facility was operated with a mixture of tap and deionized water as liquid phase and air as gas phase. The phase distribution in the froth zone was measured by a conductivity sensor matrix developed and manufactured at the Helmholtz-Zentrum Dresden-Rossendorf. Several operational points were investigated by variation of liquid flow rate and gas load. The present data publication contains raw data of these measurements along with descriptions of the experimental setup, the data acquisition and the data organization
Data publication: Phase characterization of (Mn, S) inclusions and Mo precipitates in reactor pressure vessel steel from Greifswald nuclear power plant
No full textMeasuring data for SEM, EDS, OES, Radioanalytics, Rama
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
Defect Analysis of the Beta- to Gamma-Ga2O3 phase transition
No full textIn this study, we investigate the ion-induced phase transition in gallium oxide (Ga2O3) from beta- to the gamma- phase and the role of defects in the transformation and the quality of the resulting crystal structure. This upload contains XRD, TEM, RBS, PALS, DB-VEPAS and simulations.We acknowledge the M-ERA.NET Program for financial support via the GOFIB project supported by the tax funds on the basis of the budget passed by the Saxonian state parliament in Germany and administrated in Finland by the Academy of Finland project number 352518.
UB, GH, and NK acknowledge support by the COST Action CA19140 FIT4NANO.
This work was partially supported by the Initiative and Networking Fund of the Helmholtz Association (FKZ VH-VI-442 Memriox) and the Helmholtz Energy Materials Characterization Platform (03ET7015).
We are grateful for CSC-Finnish IT Center for Science for generous computational resources
Predicting instability-driven dynamics from sparse measurements: Code and Data
No full textThis repository contains the experimental AFM datasets and the PINN-ShiftNet code used in the manuscript Predicting Instability-Driven Dynamics from Sparse Measurements.
This repository is also in https://github.com/m-sequeira/PINN-ShiftNet
├─ PINN_ShiftNet/
│ └─ (code files)
├─ data/
│ └─ (raw and png experimental AFM data)
├─ README.m
Data publication: Prelithiation of silicon thin film anodes using ion implantation for lithium ion batteries
No full textSatz von Daten der zyklierung von Batteriezellen als Excel- Datei, wie in der vorliegenden Publikation dargestellt und beschrieben sind
LyROI – nnU-Net-based Lymphoma Total Metabolic Tumor Volume Segmentation
No full textCollection of neural network models for metabolic tumor volume segmentation in (non-Hodgkin) lymphoma patients in FDG-PET/CT images. Intended to use within nnU-Net deep learning framework. For installation and usage instructions, please visit https://github.com/hzdr-MedImaging/LyRO
Data publication: Lagrangian tracking reveals competing influences of clustering and turbulence on the rise velocity of bubble swarms
No full textThis data publication contains the data to reproduce the Figures for the paper "Lagrangian tracking reveals competing influences of clustering and turbulence on the rise velocity of bubble swarms"