Advanced AiiDA workflows for Wannier90
Project description
aiida-wannier90-workflows
Advanced AiiDA workflows for automated Wannierisation.
Latest release | |
Getting help | |
Build status | |
Activity |
The protocol for automating the construction of Wannier functions is discussed in the following articles
- Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Projectability disentanglement for accurate and automated electronic-structure Hamiltonians, arXiv:2303.07877; https://arxiv.org/abs/2303.07877, https://archive.materialscloud.org/record/2023.44.
- Valerio Vitale, Giovanni Pizzi, Antimo Marrazzo, Jonathan Yates, Nicola Marzari, Arash Mostofi, Automated high-throughput Wannierisation, npj Computational Materials 6, 66 (2020); https://arxiv.org/abs/1909.00433, https://www.nature.com/articles/s41524-020-0312-y, https://doi.org/10.24435/materialscloud:2019.0044/v2.
Installation
-
Install latest release by
pip install aiida-wannier90-workflows
-
Or install the development version by
git clone https://github.com/aiidateam/aiida-wannier90-workflows.git cd aiida-wannier90-workflows/ pip install -e .
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file aiida_wannier90_workflows-2.1.0.tar.gz
.
File metadata
- Download URL: aiida_wannier90_workflows-2.1.0.tar.gz
- Upload date:
- Size: 115.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
524a7c7a4266f967bfff088f010718b17ddde1b9b9c20acf01fde5cd4f03d555
|
|
MD5 |
72bb1b6df4cec091e7d60cf548aad72d
|
|
BLAKE2b-256 |
a56ec96003bfc47c3b991d6b276e118ea9de3a7f08decf2e89927cad7fef551b
|
File details
Details for the file aiida_wannier90_workflows-2.1.0-py3-none-any.whl
.
File metadata
- Download URL: aiida_wannier90_workflows-2.1.0-py3-none-any.whl
- Upload date:
- Size: 151.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 |
d64400418d85b1448b0582c8cf60a24dc8dd801c6c5850c740ce140fc3767326
|
|
MD5 |
d5b54ece6c91725b1c817bf24c7bb735
|
|
BLAKE2b-256 |
fdb841d408f6f17f79e95e01c15192d31b941f0393fe9c7d0f0f6787fc9886ce
|