From bb2295b0e8428a0d367071fbed6d9dc7495abe86 Mon Sep 17 00:00:00 2001
From: Ilyes Batatia <48651863+ilyes319@users.noreply.github.com>
Date: Wed, 11 Oct 2023 16:11:02 +0100
Subject: [PATCH] fix table of content readme

---
 README.md | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 52014e2f..bb0ba419 100644
--- a/README.md
+++ b/README.md
@@ -17,6 +17,7 @@
 - [Tutorial](#tutorial)
 - [Weights and Biases](#weights-and-biases-for-experiment-tracking)
 - [Development](#development)
+- [Pretrained models](#pretrained-universal-mace-checkpoints)
 - [References](#references)
 - [Contact](#contact)
 - [License](#license)
@@ -168,6 +169,12 @@ before you commit (and push) to avoid accidentally committing bad code.
 
 We are happy to accept pull requests under an [MIT license](https://choosealicense.com/licenses/mit/). Please copy/paste the license text as a comment into your pull request.
 
+## Pretrained Universal MACE Checkpoints
+
+### Materials Project 
+
+We have collaborated with the Materials Project (MP) who trained universal MACE checkpoints covering 89 elements on 1.6 M bulk crystals in the [MPTrj dataset](https://figshare.com/articles/dataset/23713842) selected from MP relaxation trajectories. These pretrained models were used for materials stability prediction in [Matbench Discovery](https://matbench-discovery.materialsproject.org) and the corresponding [preprint](https://arxiv.org/abs/2308.14920). For easy reuse, these checkpoints were published on [Hugging Face](https://huggingface.co/cyrusyc/mace-universal).
+
 ## References
 
 If you use this code, please cite our papers:
@@ -194,10 +201,6 @@ If you use this code, please cite our papers:
  }
 ```
 
-## Pretrained Universal MACE Checkpoints
-### Materials Project 
-We have collaborated with the Materials Project (MP) who trained universal MACE checkpoints covering 89 elements on 1.6 M bulk crystals in the [MPTrj dataset](https://figshare.com/articles/dataset/23713842) selected from MP relaxation trajectories. These pretrained models were used for materials stability prediction in [Matbench Discovery](https://matbench-discovery.materialsproject.org) and the corresponding [preprint](https://arxiv.org/abs/2308.14920). For easy reuse, these checkpoints were published on [Hugging Face](https://huggingface.co/cyrusyc/mace-universal).
-
 ## Contact
 
 If you have any questions, please contact us at ilyes.batatia@ens-paris-saclay.fr.