All software
Multiphase Code Repository by HZDR for OpenFOAM Foundation Software
This software publication is released by Helmholtz-Zentrum Dresden-Rossendorf according to FAIR principles. It contains experimental research work for the numerical simulation of multiphase flows. The development is based on the open-source software released by the OpenFOAM Foundation.
- Computational Fluid Dynamics
- Energy
- Euler-Euler method
- + 5
ILTpy
ILTpy is a python library for performing regularized inversion of one-dimensional or multi-dimensional data without non-negativity constraint. Primary applications include magnetic resonance (NMR, EPR), and electrochemical impedance spectroscopy (distribution of relaxation times; DRT).
- Distribution of Relaxation times
- DRT
- EPR
- + 7
- Python
- HTML
PeCon.py
PeCon.py is a Python-Software, that enables the calculation of the ionic and electronic conductivities of Perovskite-type ceramic materials, i.e. the conductivities within oxygen-transport ceramic membranes.
- Energy
- MTET
- open source
- + 1
Ideal-Equilibrium-Oxygen-Membrane-Reactor
The Python script OMR_model.py allows to simulate oxygen membrane reactors with continuous gas flow rates.
- Energy
- Membrane reactor
- MTET
- + 3
- Python
GOAC
Global Optimization of Atomistic Configurations by Coulomb
- Energy
- Modeling
- MTET
- + 1
- Fortran Free Form
- Python
JuMPER
JuMPER (Jülich open access Modelling Platform for Electrochemistry Research) is a collaborative platform designed for modelling and analyzing electrochemical processes. It supports open access research on electrochemical devices, including fuel cells, electrolyzers and batteries.
- Energy
- open source
- python
Lightning UQ Box
The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.
- Deep Learning
- python
- uncertainty quantification
- Python
micromechanics-indentationGUI
Graphical User Interface (GUI) software for analyzing nanoindentation experimental data
- Data analysis
- Data Visualization
- Energy
- + 5
- Python
UTILE-Oxy
Automated workflow using deep learning for the analysis of videos containing oxygen bubbles in PEM electrolyzers: 1. preparing annotated dataset and training models to conduct semantic seg- mentation of bubbles and 2. automating the extraction of bubble properties for further distribution analysis.
- bubbles
- Data analysis
- Data Visualization
- + 7
- Python
- Jupyter Notebook