Skip to main content

AiiDA plugin for vibrational spectoscopy using Quantum ESPRESSO.

Project description

aiida-vibroscopy

AiiDA plugin that uses finite displacements and fields to compute phonon properties, dielectric, Born effective charges, Raman and non-linear optical susceptibility tensors, coming with lots of post-processing tools to compute infrared and Raman spectra in different settings.

Latest release PyPI versionPyPI pyversions
References Static Badge
Getting help Docs status Discourse status
Build status Build Status Coverage Status
Activity PyPI-downloads Commit Activity
Community Discourse

Installation

To install from PyPI, simply execute:

pip install aiida-vibroscopy

or when installing from source:

git clone https://github.com/bastonero/aiida-vibrosopy
pip install .

Command line interface tool

The plugin comes with a builtin CLI tool: aiida-vibroscopy. For example, the following command should print:

> aiida-vibroscopy launch --help
Usage: aiida-vibroscopy launch [OPTIONS] COMMAND [ARGS]...

  Launch workflows.

Options:
  -v, --verbosity [notset|debug|info|report|warning|error|critical]
                                  Set the verbosity of the output.
  -h, --help                      Show this message and exit.

Commands:
  dielectric      Run an `DielectricWorkChain`.
  harmonic        Run a `HarmonicWorkChain`.
  iraman-spectra  Run an `IRamanSpectraWorkChain`.
  phonon          Run an `PhononWorkChain`.

How to cite

If you use this plugin for your research, please cite the following works:

Please, also cite the underlying Quantum ESPRESSO and Phonopy codes references.

License

The aiida-vibroscopy plugin package is released under a special academic license. See the LICENSE.txt file for more details.

Acknowlegements

We acknowledge support from:

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

aiida_vibroscopy-1.2.0.tar.gz (110.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

aiida_vibroscopy-1.2.0-py3-none-any.whl (135.0 kB view details)

Uploaded Python 3

File details

Details for the file aiida_vibroscopy-1.2.0.tar.gz.

File metadata

  • Download URL: aiida_vibroscopy-1.2.0.tar.gz
  • Upload date:
  • Size: 110.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.3

File hashes

Hashes for aiida_vibroscopy-1.2.0.tar.gz
Algorithm Hash digest
SHA256 2f6911b34877104b900f04486ad9a67a272bcf753cf0025ed1c64a0e1cd9c117
MD5 f9831f0ae8b6ca048dbef239b6512c58
BLAKE2b-256 28f8616722b58964da72ba5bad8b79eef70e90c3ac66ed9d24c42c19ea6df171

See more details on using hashes here.

File details

Details for the file aiida_vibroscopy-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for aiida_vibroscopy-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0388806b50b7d6cf9936b82211ca062c949c6cbf4077902ec3897f3d5432fa1d
MD5 8b554672a2747a2ff562fb802657e9cd
BLAKE2b-256 7e7c837ec88843d7af3c2b427f318a614b3106ecdc63b3cd6b3cee88b2d9dba5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page