Skip to main content

Collective atomic modulation analysis with irreducible space-group representation

Project description

spgrep-modulation

testing pre-commit.ci status codecov License PyPI - Python Version PyPI version PyPI Downloads

Collective atomic modulation analysis with irreducible space-group representation

Features

  • Calculate representation matrices and irreps formed by phonon eigenmodes
  • Calculate isotropy subgroups of irreps of space groups on the fly
  • Generate modulated structures in selected order-parameter directions of isotropy subgroups

Usage

from pathlib import Path
import phonopy
from phonopy.structure.symmetry import Symmetry
from spgrep_modulation.modulation import Modulation

# Load Phonopy object
path = Path(__file__).resolve().parent.parent / "tests" / "phonopy_mp-2998.yaml.xz"
ph = phonopy.load(path)

# Prepare Modulation class
qpoint = [0.5, 0, 0]  # X point
md = Modulation.with_supercell_and_symmetry_search(
    dynamical_matrix=ph.dynamical_matrix,
    supercell_matrix=[2, 2, 2],
    qpoint=qpoint,
    factor=ph.unit_conversion_factor,
)

# Degenerated imaginary mode
frequency_index = 0
print(f"Frequency (THz): {md.eigvals_to_frequencies(md.eigenspaces[frequency_index][0]):.2f}")
# -> Frequency (THz): -4.88
print(f"Irrep shape: {md.eigenspaces[frequency_index][2].shape}")
# -> Irrep shape: (16, 2, 2)

# Modulated cells corresponding to one-dimensional order-parameter directions of isotropy subgroup
cells = md.get_high_symmetry_modulated_supercells(frequency_index)
for cell in cells:
    symmetry = Symmetry(cell)
    print(f"{symmetry.dataset['international']} (No. {symmetry.dataset['number']})")
# -> Pmma (No. 51) and Cmcm (No. 63)

Installation

pip install spgrep-modulation
conda create -n modulation python=3.10 pip
conda activate modulation
git clone git@github.com:lan496/spgrep-modulation.git
cd spgrep-modulation
pip install -e .
# pip install -e ".[dev,docs,vis]"
# pre-commit install

License

spgrep-modulation is released under a BSD 3-clause license.

Development

Document

sphinx-autobuild docs docs_build
# open localhost:8000 in your browser

Acknowledgements

Some test files tests/phonopy_mp-*.yaml.xz are adapted from phonondb under CC BY 4.0.

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

spgrep_modulation-0.3.0.tar.gz (390.4 kB view details)

Uploaded Source

Built Distribution

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

spgrep_modulation-0.3.0-py3-none-any.whl (20.9 kB view details)

Uploaded Python 3

File details

Details for the file spgrep_modulation-0.3.0.tar.gz.

File metadata

  • Download URL: spgrep_modulation-0.3.0.tar.gz
  • Upload date:
  • Size: 390.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for spgrep_modulation-0.3.0.tar.gz
Algorithm Hash digest
SHA256 7405eef3202823395a9cc7c16efa11c9748fd2dd9033b4ff271ddb30c452163a
MD5 da524c70d0cb8fe7e5865f30a5bee5a0
BLAKE2b-256 80403275a0f16e1938ba7404c6c49aa2c07d2b21209fa9c3a29f6aed9ad90aea

See more details on using hashes here.

File details

Details for the file spgrep_modulation-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for spgrep_modulation-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 664370ef431615b61e48c83c0efa749b4c9ea1d8754cdfb55288e37979bb6d53
MD5 4a240de452eeef1dcafd7ab67edb94f1
BLAKE2b-256 aedca08eed3a298dd2e145ee370d8e818acaabca0ac4b717e52b18df09c339d7

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