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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
    0
    0
    Logo for Lightning UQ Box

    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
    0
    0
    Logo for micromechanics-indentationGUI

    micromechanics-indentationGUI

    Graphical User Interface (GUI) software for analyzing nanoindentation experimental data

    • Data analysis
    • Data Visualization
    • Energy
    • + 5
    • Python
    4
    0
    Logo for Multiphase Python Repository by HZDR

    Multiphase Python Repository by HZDR

    Toolkit for reproducible multiphase CFD workflows.

    • gitlab
    • Numerical Simulations
    • Post-processing
    • + 1
    • Python
    • Jinja
    • Shell
    • + 2
    6
    0
    Logo for PowerMarketSim

    PowerMarketSim

    PowerMarketSim is a fundamental model of the European day-ahead market. It links decentralized bidding and market clearing via Lagrangian relaxation and represents cross-zonal constraints through congestion rents, producing realistic price signals and unit schedules.

    • Energy
    • ESD
    • ESD - Topic 2
    • + 2
    • Python
    3
    0
    Logo for sci2grid

    sci2grid

    sci2grid is a software tool for extracting, filtering, and processing data to build open-source grid models. The main objective of sci2grid is to offer easily accessible and transparent models that support further applications in science, industry, and society.

    • Data analysis
    • Energy
    • ESD
    • + 4
      0
      0

      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
      6
      0