BasisOpt is a python library for the optimization of Gaussian basis sets as used in most quantum chemistry packages. It is currently under development, but should be reasonably stable.
The library is pip installable:
pip install basisopt
To install a development version instead, clone this repo locally, change to the folder, and use poetry. This will cleanly create a virtual environment for the project, that will ensure any changes are publishable.
poetry install -v
You can then start an interactive shell or run a script using
poetry run [python3 or script.py]
This is local to the directory, and will not make BasisOpt available elsewhere. You can alternatively create a fresh conda env or pyenv and in the top directory run
pip install -e .
However, if you intend to submit a PR for your change, please test building with poetry first.
Contributions are welcomed, either in the form of raising issues or pull requests on this repo. Please take a look at the Code of Conduct before interacting, which includes instructions for reporting any violations.
- Standard optimization strategies (PCSeg and correlation-consistent)
For dependencies, detailed installation instructions, and a guide to getting started, please refer to the main documentation here.
There are working examples in the examples folder, and these are (or will be) documented in the documentation.
If you use this library in your program and find it helpful, that's great! Any feedback would be much appreciated. If you publish results using this library, please consider citing the following paper detailing the implementation: