# adcc: Seamlessly connect your program to ADC
| **Documentation** | [![][docs-img]][docs-url] [![][binder-img]][binder-url] |
| :------ | :------- |
| **Build Status** | [![][ci-img]][ci-url] [![][cov-img]][cov-url] [![][lgtm-img]][lgtm-url] |
| **Installation** | [![][pypi-img]][pypi-url] [![][conda-img]][conda-url] [![][license-img]][license-url] |
[docs-img]: https://img.shields.io/badge/doc-latest-blue.svg
[docs-url]: https://adc-connect.org
[binder-img]: https://mybinder.org/badge_logo.svg
[binder-url]: https://try.adc-connect.org
[ci-img]: https://github.com/adc-connect/adcc/workflows/CI/badge.svg?branch=master&event=push
[ci-url]: https://github.com/adc-connect/adcc/actions
[cov-img]: https://coveralls.io/repos/adc-connect/adcc/badge.svg?branch=master&service=github
[cov-url]: https://coveralls.io/github/adc-connect/adcc?branch=master
[license-img]: https://img.shields.io/badge/License-GPL%20v3-blue.svg
[license-url]: https://github.com/adc-connect/adcc/blob/master/LICENSE
[pypi-img]: https://img.shields.io/pypi/v/adcc
[pypi-url]: https://pypi.org/project/adcc
[conda-img]: https://anaconda.org/conda-forge/adcc/badges/version.svg
[conda-url]: https://anaconda.org/conda-forge/adcc
[lgtm-img]: https://img.shields.io/lgtm/grade/python/github/adc-connect/adcc?label=code%20quality
[lgtm-url]: https://lgtm.com/projects/g/adc-connect/adcc/context:python
adcc (**ADC-connect**) is a Python-based framework for calculating molecular spectra and electronically excited states
with the algebraic-diagrammatic construction (ADC) approach.
Arbitrary host programs may be used to supply a
self-consistent field (SCF) reference to start off the ADC calculation.
Currently adcc comes with ready-to-use interfaces to four programs: PySCF, Psi4, VeloxChem and molsturm.
Adding other SCF codes or
starting a calculation from
statically computed data can be easily achieved.
Try adcc in your browser at https://try.adc-connect.org
or take a look at the [adcc documentation](https://adc-connect.org)
for more details and installation instructions.
## Citation
**Paper:** | [](https://doi.org/10.1002/wcms.1462)
-----------| --------------------------------------------------------------------------------------------------------
**Code:** | [](https://zenodo.org/badge/latestdoi/215731857)
If you use adcc, please cite
[our paper in WIREs Computational Molecular Science](https://doi.org/10.1002/wcms.1462).
A preprint can be found
[on HAL](https://hal.archives-ouvertes.fr/hal-02319517)
or [on arXiv](http://arxiv.org/pdf/1910.07757).
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