pyiron

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pyiron is an integrated development environment for implementing, testing, and running simulations in computational materials science. It combines several tools in a common plattform:

  • Atomic structure objects – compatible to the Atomic Simulation Environment (ASE).
  • Atomistic simulation codes – like LAMMPS and VASP.
  • Feedback Loops – to construct dynamic simulation life cycles.
  • Hierarchical data management – interfacing with storage resources like SQL and HDF5.
  • Integrated visualization – based on NGLview.
  • Interactive simulation protocols - based on Jupyter notebooks.
  • Object oriented job management – for scaling complex simulation protocols from single jobs to high-throughput simulations.
Screenshot of pyiron running inside jupyterlab.

pyiron (called pyron) is developed in the Computational Materials Design department of Joerg Neugebauer at the Max Planck Insitut für Eisenforschung (Max Planck Insitute for iron research). While its original focus was to provide a framework to develop and run complex simulation protocols as needed for ab initio thermodynamics it quickly evolved into a versatile tool to manage a wide variety of simulation tasks. In 2016 the Interdisciplinary Centre for Advanced Materials Simulation (ICAMS) joined the development of the framework with a specific focus on high throughput applications. In 2018 pyiron was released as open-source project.

Note

pyiron 1.0 – Disclaimer: With the first open source release of pyiron under the BSD license we provide a fully functional core platform. We are currently working on finalizing various plugins, e.g. to enhance high throughput simulations, for Computational Phase Studies, and Electrochemistry and Corrosion. The code is published on Github.org, PyPi.org and Anaconda.org

Explore pyiron

We provide various options to install, explore and run pyiron:

Join the development

Please contact us if you are interested in using pyiron:

  • to interface your simulation code or method
  • implementing high-throughput approaches based on atomistic codes
  • to learn more about method development and Big Data in material science.

News

  • 21st July 2018: pyiron paper accepted.
  • 20th July 2018: pyiron 0.1.7 released.
  • 25th May 2018: pyiron 0.1.5 released.
  • 11th May 2018: pyiron 0.1.3 published on conda-forge install pyiron using: conda install -c conda-forge pyiron
  • 07th May 2018: pyiron paper submitted
  • 05th April 2018: test pyiron on mybinder.org (beta)
  • 27th March 2018: pyiron is available on anaconda.org install pyiron using: conda install -c pyiron -c conda-forge pyiron
  • 27th February 2018: pyiron is available on pypi.org install pyiron using: pip install pyiron
  • 05th December 2017: The pyiron website goes online.

Citing

If you use pyiron in your research, please consider citing the following work:

@article{pyiron-paper,
  author={Jan Janssen and Sudarsan Surendralal and Yury Lysogorskiy and Mira Todorova and Tilmann Hickel and Ralf Drautz and Jörg Neugebauer},
  title={pyiron: An integrated development environment for computational materials science},
  year={2018}
}

Read more about citing individual modules/ plugins of pyiron and the implemented simulation codes.