Skip to main content

Analysis tool for simulations of grain boundaries and interfaces

Project description

Documentation Status Coverage Status code coverage pre-commit.ci status Binder

Agility

Atomistic Grain Boundary and Interface Utility. This is a library for pre- and postprocessing polycrystalline and grain-boundary structures to use with atomistic codes, e.g. LAMMPS and VASP. It allows top-level processing of those structures by utilizing established methods to differentiate between bulk and interface regions. This allows to extract static as well as dynamic properties of these structures.

Implementations

While it is intendend that agility can be used with different "backends" such as ase, babel, pyiron, and others, the main functionality is (currently) implemented with ovito and LAMMPS.

Installation

There are different ways to install agility. Choose what works best with your workflow.

From source

To build from source, use

pip install -r requirements.txt

python setup.py build

python setup.py install

Using pip

pip install agility

Using conda

conda skeleton pypi agility

conda build agility

conda install --use-local agility

Contributing

Any contributions or even questions about the code are welcome - please use the Issue Tracker or Pull Requests.

Development

The development takes place on the development branch. Python 3.9 is the minimum requirement. Some backends (like ovito) currently do not support Python 3.10.

Documentation

The user documentation will be written in python sphinx. The source files should be stored in the doc directory.

Run tests

After installation, in the home directory, use

% pytest

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

agility-0.0.3.tar.gz (16.6 kB view hashes)

Uploaded Source

Built Distribution

agility-0.0.3-py3-none-any.whl (15.3 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