From 9e2714c3e7c3c62aa01888671338f71579cfca1f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Moritz=20R=2E=20Sch=C3=A4fer?= Date: Mon, 13 Nov 2023 10:30:24 +0100 Subject: [PATCH] added zenodo badge --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 90bfd15f..6ec96dd6 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,7 @@ # `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].