https://github.com/aiidateam/aiida-wannier90-workflows
A collection of advanced automated workflows to compute Wannier functions using AiiDA and the Wannier90 code
https://github.com/aiidateam/aiida-wannier90-workflows
Last synced: about 2 months ago
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A collection of advanced automated workflows to compute Wannier functions using AiiDA and the Wannier90 code
- Host: GitHub
- URL: https://github.com/aiidateam/aiida-wannier90-workflows
- Owner: aiidateam
- License: other
- Created: 2020-03-17T08:40:23.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-02-14T09:33:02.000Z (3 months ago)
- Last Synced: 2025-03-31T04:07:45.957Z (about 2 months ago)
- Language: Python
- Homepage: http://aiida-wannier90-workflows.readthedocs.io/
- Size: 4.55 MB
- Stars: 17
- Watchers: 6
- Forks: 18
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# `aiida-wannier90-workflows`
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|Latest release| [](https://badge.fury.io/py/aiida-wannier90-workflows) [](https://pypi.python.org/pypi/aiida-wannier90-workflows/) |
|Getting help| [](http://aiida-wannier90-workflows.readthedocs.io/) [](https://groups.google.com/forum/#!forum/aiidausers)
|Build status| [](https://github.com/aiidateam/aiida-wannier90-workflows/actions) [](https://codecov.io/gh/aiidateam/aiida-wannier90-workflows/tree/main) |
|Activity| [](https://pypistats.org/packages/aiida-wannier90-workflows) [](https://github.com/aiidateam/aiida-wannier90-workflows/pulse)Advanced AiiDA workflows for automated Wannierisation.
The protocol for automating the construction of Wannier functions is discussed
in the articles listed in the [Support and citations](#support-and-citations).## Installation
1. Install latest release by
```bash
pip install aiida-wannier90-workflows
```2. Or install the development version by
```bash
git clone https://github.com/aiidateam/aiida-wannier90-workflows.git
cd aiida-wannier90-workflows/
pip install -e .
```## Examples
See the [examples](examples/) folder on how to use the workflows.
## Support and citations
If you find this package useful, please cite the following articles
* Junfeng Qiao, Giovanni Pizzi, Nicola Marzari,
*Projectability disentanglement for accurate and automated electronic-structure Hamiltonians*, npj Computational Materials 9, 208 (2023)
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* Junfeng Qiao, Giovanni Pizzi, Nicola Marzari,
*Automated mixing of maximally localized Wannier functions into target manifolds*, npj Computational Materials 9, 206 (2023)
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* Valerio Vitale, Giovanni Pizzi, Antimo Marrazzo, Jonathan Yates, Nicola Marzari, Arash Mostofi,
*Automated high-throughput Wannierisation*, npj Computational Materials 6, 66 (2020)
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