Forschungszentrum Jülich
JuKKR
The Korringa-Kohn-Rostoker (KKR) Greens function method is a highly accurate all-electron method to perform density functional theory calculations for the prediction of materials properties based on quantum mechanical simulations.
- CPU
- Density functional theory
- High performance computing
- + 5
- Fortran Free Form
- Fortran
- TeX
- + 2
Julearn
Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.
- Machine learning
- Neuroimaging
- python
- Python
JumpDiff
The python package `JumpDiff` offers methods to generate and analyze stochastic processes that are described by a jump-diffusion process.
- Data analysis
- Energy
- ESD
- + 4
- 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
Junifer
junifer (JUelich NeuroImaging FEature extractoR) is a data handling and feature extraction library targeted towards neuroimaging data.
- FeatureExtraction
- Neuroimaging
- python
- Python
- Shell
- Dockerfile
- + 1
JuPedSim
JuPedSim is a framework designed to support students and researchers in investigating pedestrian dynamics and conducting research related to the development and validation of new models or model features. It enables the analysis of experiments and facilitates the proper visualization of results.
- Information
- Modeling
- open source
- + 3
- Python
- C++
- Jupyter Notebook
- + 3
JupyterHub Outpost
JupyterHub Outpost can be used as an additional, external source to start and manage single-user servers. Like in JupyterHub itself, different Spawners can be configured at the Outpost. It's best used together with the jupyterhub-outpostspawner configured at JupyterHub.
- Jupyter
- Kubernetes
- python
- Python
- Shell
- Dockerfile
JupyterHub Outpostspawner
The OutpostSpawner in combination with the JupyterHub Outpost service enables JupyterHub to spawn single-user notebook servers on heterogenous remote resources.
- python
- Python
JURASSIC
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
- Atmospheric science
- Climate
- Earth & Environment
- + 5
- C
- Shell
- Visual Basic 6.0
- + 1
JURI
JURI (Jülich Reporting Interface) provides a template-driven fully client-based web framework to visualise data lists and associated data graphs.
- JavaScript
- HTML
- CSS
- + 5
KinFit
KinFit can be used for kinematic fitting in particle and hadron physics experiments. The iterative procedure is based on the Langrange multiplier technique. Constraints such as mass, vertex and momentum conservation are included.
- C++
- Data analysis
- open source
- C++
- C
- CMake
kramersmoyal
The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.
- Data analysis
- Drift-Diffusion
- Energy
- + 5
- Python
- TeX