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, non-linear optical susceptibility, and Pockels tensors, coming with lots of post-processing tools to compute infrared (absorption and reflectivity) and Raman spectra in different settings.

Reference DOI
Latest release PyPI versionPyPI pyversions
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:

Lorenzo Bastonero and Nicola Marzari, Automated all-functionals infrared and Raman spectra, npj Computational Materials 10, 55 (2024)

Sebastiaan. P. Huber et al., AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance, Scientific Data 7, 300 (2020)

Martin Uhrin et al., Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows, Computational Materials Science 187, 110086 (2021)

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

If you also calculate the Pockels tensors in a post-processing step, please also consider to cite:

Virginie de Mestral el al., Ab initio functional-independent calculations of the clamped Pockels tensor of tetragonal barium titanate, Phys. Rev. B 111, 184306 (2025)

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-1.6.0.tar.gz (112.1 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-1.6.0-py3-none-any.whl (135.7 kB view details)

Uploaded Python 3

File details

Details for the file aiida_vibroscopy-1.6.0.tar.gz.

File metadata

  • Download URL: aiida_vibroscopy-1.6.0.tar.gz
  • Upload date:
  • Size: 112.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for aiida_vibroscopy-1.6.0.tar.gz
Algorithm Hash digest
SHA256 c14e9eb03edb65d5efe1470e64e3764aaccd605bded92dbe3c7ad22c7026a268
MD5 35c99de16ae0ad70c3ee65c51cab3034
BLAKE2b-256 0b0fa5b68741be08e6f1a01059c579844bd87e027ff97b266e8d33bdc003f9dd

See more details on using hashes here.

File details

Details for the file aiida_vibroscopy-1.6.0-py3-none-any.whl.

File metadata

File hashes

Hashes for aiida_vibroscopy-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f84db885438f144f2eb3d0398ba464dbe727be7ca705a85335d21479fbd24eb2
MD5 70affe6eb7892b64cf37683d1fe86550
BLAKE2b-256 99c269395537de1f91f16dd332498dea88c94aa7edab79558306887a880ddb4e

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