add omatg info

README.md

@@ -29,4 +29,20 @@ The Alexandria dataset was published under [Creative Commons Attribution 4.0 Int
 ```
 Jonathan Schmidt, Noah Hoffmann, Hai-Chen Wang, Pedro Borlido, Pedro J. M.A. Carriço, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques, Large-scale machine-learning-assisted exploration of the whole materials space, Materials Cloud Archive 2022.126 (2022), https://doi.org/10.24435/materialscloud:m7-50
 ```
-Additional information pertaining to the creation of Alex-MP-20 can be found [here](https://github.com/microsoft/mattergen/blob/main/data-release/alex-mp/README.md)
+Additional information pertaining to the creation of Alex-MP-20 can be found [here](https://github.com/microsoft/mattergen/blob/main/data-release/alex-mp/README.md)  
+
+---
+  
+# Open Materials Generation (OMatG)
+## About
+
+OMatG is a generative model for crystal structure prediction and de novo generation of inorganic crystals.  
+This repository hosts our model checkpoints and benchmark datasets.
+
+## Citation
+Please cite [our paper on OpenReview](https://openreview.net/forum?id=gHGrzxFujU) if using our models or datasets.
+
+## Links
+[OMatG on GitHub](https://github.com/FERMat-ML/OMatG): See this repository for installation, training and usage instructions.  
+[KIM Initiative](https://kim-initiative.org/): Knowledgebase of Interatomic Models. Tools and resources for researchers in materials science and chemistry.  
+[Fermat-ML on GitHub](https://github.com/FERMat-ML): Foundational Representation of Materials. Machine learning foundation model for materials and chemistry discovery.