Welcome to Critcatworks

Workflow manager for DFT simulations on nanocluster databases using Fireworks

This site is UNDER CONSTRUCTION

The project aims to partially automate nanocatalyst discovery. During the course of this project, critcatworks emerged. It has made screening of catalyst search space and management and analysis of large datasets easier. The following sketch shows an overview of the envisioned and partly realized catalyst discovery platform.

_images/critcat_2_flowchart.svg

The package features various workflows:

  1. singlesites workflow

    1. automatically generate adsorbates on nanoclusters

    2. rank the cluster-adsorbate structures based on similarity

    3. run CP2K calculations

    4. do machine learning on the fly

  2. nanocluster workflow

    1. relax nanocluster structures

    2. sort them with respect to stability

  3. coverage workflow

    1. automatically cover nanoclusters with adsorbates

    2. reduce the coverage with a simple heuristic step by step with DFT

  4. coverage ladder workflow

    1. starting from a coverage with adsorbates

    2. sophisticated coverage ladder algorithm searches for the optimal adsorbate coverage

Take a look at the Installation and Quickstart tutorials for the first steps.

Contributing

Contribute by raising an issue on github if you encounter a problem, or develop your own nanocluster workflow. Follow the guidelines in the developer tutorial: For Future Developers

About

Authors

This package is developed at Aalto University, Department of Applied Physics by the Surfaces and Interfaces at the Nanoscale (SIN) group.

Contact

If you encounter issues with the software, or want to suggest improvements, please use the issues feature of github.

If you want to contact the authors on other matters, use the following email: marc.jager [at] aalto [dot] fi

License

The software is licensed under the GNU General Public License Version 3.0

Funding

This project has received funding from the Finnish Foundation for Technology Promotion and the European Union’s Horizon 2020 research under grant agreement number no. 686053 CRITCAT.

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