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AiiDAlab Quantum ESPRESSO application

About

This is a early-development implementation of an AiiDAlab application for Quantum ESPRESSO workflow. The app allows the execution of a workflow with Quantum ESPRESSO that includes the selection of an input structure, its relaxation, and the bands structure calculation.

The app is currently in an early development stage!

For developers

The package uses pre-commit hooks to check the style consistency of all commits. To use those you need to first install the pre-commit package itself, e.g. with:

pip install .[dev]

and then install the pre-commit hooks with

pre-commit install

The pre-commit checks should now be automatically executed prior to each commit.

Work chain updates

See src/README.md for instructions on how to update the aiidalab_qe_workchain.

For maintainers

To create a new release, clone the repository, install development dependencies with pip install '.[dev]', and then execute bumpver update. This will:

  1. Create a tagged release with bumped version and push it to the repository.
  2. Trigger a GitHub actions workflow that creates a GitHub release.

Additional notes:

  • Use the --dry option to preview the release change.
  • The release tag (e.g. a/b/rc) is determined from the last release. Use the --tag option to switch the release tag.

See above for notes on how to release updates to the aiidalab_qe_workchain.

Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957189. The project is part of BATTERY 2030+, the large-scale European research initiative for inventing the sustainable batteries of the future. Also supported by the MARVEL National Centre for Competency in Research funded by the Swiss National Science Foundation, the MARKETPLACE project funded by Horizon 2020 under the H2020-NMBP-25-2017 call (Grant No. 760173), as well as by the MaX European Centre of Excellence funded by the Horizon 2020 EINFRA-5 program, Grant No. 676598.

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AiiDAlab App for Quantum ESPRESSO

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  • Python 87.1%
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