Skip to main content

No project description provided

Project description

logo

license DL release PyPI_version Python_version workflows fork stars

SHRY (Suite for High-throughput generation of models with atomic substitutions implemented by python) is a tool for generating unique ordered structures corresponding to a given disordered structure.

How to cite

Please cite the following paper:

SHRY: Application of Canonical Augmentation to the Atomic Substitution Problem, G.I. Prayogo*, A. Tirelli, K. Utimula, K. Hongo, R. Maezono, and K. Nakano*, J. Chem. Inf. Model., 62, 2909-2915 (2022), DOI:10.1021/acs.jcim.2c00389

Installation

SHRY can be obtained from PyPI

pip install shry

For Windows Users

For Windows users, if you don’t have Python already, you can try, for example, installing Python from the Microsoft store following instructions on this page.

Then install SHRY just like above within PowerShell or your favourite terminal.

pip install shry

Development

If you prefer to install from source, instead follow the procedures below.

git clone https://github.com/shry-project/SHRY.git
cd shry
pip install -e .

Quick use

Preparation of an input file (a CIF file)

You can prepare a CIF file with partial occupations.

# label element x y z occupation
Sm1 Sm 0.000 0.00 0.00 1.000
Fe1 Fe 0.250 0.25 0.25 0.400
Nb1 Nb 0.250 0.25 0.25 0.600
Fe2 Fe 0.278 0.50 0.00 1.000

SHRY will automatically stop if the total occupancy of a site is either less or more than 1.0. To simulate vacancies, create a pseudo atom with species X.

Check total symmetry-inequivalent structures

You can readily check the number of total symmetry-inquivalent structures using the following command.

shry --count-only STRUCTURE_CIF

This operation is based on Polya enumeration and takes much less time than a proper generation.

Creating supercell

Sometimes a supercell is required to fit in finer concentrations. SHRY accepts either 3-digit (diagonal) or 9-digit (non-diagonal) format to specify the supercell’s scaling matrix. For example a 2x2x1 supercell can be specified by either

shry -s 2 2 1 --count-only STRUCTURE_CIF

or

shry -s 2 0 0 0 2 0 0 0 1 --count-only STRUCTURE_CIF

Generating unique structures

Finally, you can generate symmetry-inequivalent structures using the following command:

shry -s 2 2 1 STRUCTURE_CIF

The generated symmetry-inequivalent structures are saved in sliceXX directories.

Additional information

For additional information, you can use the help command:

shry -h

or you can refer to the documentation.

Documentation

The documentation is available here.

Contributing to the project

Please work on your forked repository, and send a pull request to the devel branch of the original GitHub repository. After the pull request is approved and the devel branch is merged.

If you want to contribute to the project, report a bug, or ask for a new feature, please raise an issue.

How to release for maintainers

Check the next-version version

# Confirm the version number via `setuptools-scm`
python -m setuptools_scm
e.g., 1.1.4.dev28+gceef293.d20221123 -> <next-version> = v1.1.4 or v1.1.4-alpha(for pre-release)

Add and push with the new tag

# Push with tag
git tag <next-version>  # e.g., git tag v1.1.4  # Do not forget "v" before the version number!
git push origin devel --tags  # or to the new branch # Do not push to the mater branch!!

Make a pull request for merging the devel branch to the main branch by hand. The implemented GitHub Action checks if the automatic deploy works using test-pyPI.

Finally, do a new release with a release note on GitHub. The new release triggers an implemented GitHub Action that automatically uploads the package to PyPI (if the commit is tagged correctly, e.g., v1.1.0 or v1.1.0-alpha).

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

SHRY-1.1.8a0.tar.gz (3.2 MB view hashes)

Uploaded Source

Built Distribution

SHRY-1.1.8a0-py3-none-any.whl (34.6 kB view hashes)

Uploaded Python 3

Supported by

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