Python package containing an AiiDA Plugin for running the pfdisloc-code (phasefield dislocation interaction) from the IAS-9 of the Forschungszentrum Juelich GmbH. The code is based on Fenics. The package also contains some workflows and utility
Project description
Enabling usage of the FEniCS computing platform with AiiDA
This software contains a plugins that enables the usage of the FENiCS computing platform with the AiiDA framework. It includes special plugins for software building on FENiCs like the Phasefield dislocation interaction program Pdfdisloc. The enables provenance tracking for such simulations and workflows, which is need for research datamanagement, reproducibility and FAIR data.
Documentation
Hosted at http://aiida-fenics.readthedocs.io/en/develop/index.html. For other information see the AiiDA-core docs, or the FeniCs project.
License:
MIT license. See the license file.
How to cite:
If you use this package please consider citing:
Comments/Disclaimer:
Contents
Introduction
This is a python package (AiiDA plugin and utility) allowing to use the pdfdisloc code in the AiiDA Framework. The Pdfdisloc program contains workflows based on Fenics a finite element solver, that is widely applied in the material science and physics community.
The plugin :
The plugin consists of:
1. A data-structure representing Meshes.
2. pdfdisloc calculation
Installation Instructions
From the aiida-fenics folder (after downloading the code, recommended) use:
$ pip install .
# or which is very useful to keep track of the changes (developers)
$ pip install -e .
To uninstall use:
$ pip uninstall aiida-fenics
Or install latest release version from pypi:
$ pip install aiida-fenics
Test Installation
To test rather the installation was successful use:
$ verdi plugins list aiida.calculations
# example output:
## Pass as a further parameter one (or more) plugin names
## to get more details on a given plugin.
...
* fenics.dfdisloc
You should see 'fenics.*' in the list
The other entry points can be checked with the AiiDA Factories (Data, Workflow, Calculation, Parser). (this is done in test_entry_points.py)
We suggest to run all the (unit)tests in the aiida-fleur/aiida_fleur/tests/ folder.
$ bash run_all_cov.sh
Code Dependencies
Requirements are listed in setup.json.
most important are:
- aiida_core >= 1.3.0
Mainly AiiDA:
- Download from www.aiida.net -> Download
- install and setup -> aiida's documentation
Further Information
Usage examples are shown in 'examples'.
Acknowledgements
Besides the Forschungszentrum Juelich GmbH (FZJ), this project was supported within the hub Information at the FZJ by the Helmholtz Metadata Collaboration (HMC), an incubator-platform of the Helmholtz Association within the framework of the Information and Data Science strategic initiative.
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