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 # `apax`: Atomstic learned Potentials in JAX!
-[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10040711.svg)](https://doi.org/10.5281/zenodo.10040711)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
 
 `apax`[1] is a high-performance, extendable package for training of and inference with atomistic neural networks.
 It implements the Gaussian Moment Neural Network model [2, 3].