Update README.md

README.md

@@ -21,11 +21,13 @@ Welcome to IBM's series of large foundation models for sustainable materials. Ou
 
 GitHub: [GitHub Link](https://github.com/IBM/materials/tree/main)
 
-Paper: [arXiv:2407.20267](https://arxiv.org/abs/2407.20267)
+Paper (pre-print): [arXiv:2407.20267](https://arxiv.org/abs/2407.20267)
+
+Paper: [Communications Chemistry](https://rdcu.be/eujAk)
 
 # SMILES-based Transformer Encoder-Decoder (SMI-TED)
 
-![ted-smi](smi-ted.png)
+![smi-ted](smi-ted.png)
 
 This repository provides PyTorch source code associated with our publication, "A Large Encoder-Decoder Family of Foundation Models for Chemical Language".
 
@@ -174,6 +176,19 @@ with torch.no_grad():
 
 ## Citations
 
+```
+@article{soares2025open,
+  title     = {An open-source family of large encoder-decoder foundation models for chemistry},
+  author    = {Soares, Eduardo and Vital Brazil, Emilio and Shirasuna, Victor and Zubarev, Dmitry and Cerqueira, Renato and Schmidt, Kristin},
+  journal   = {Communications Chemistry},
+  volume    = {8},
+  pages     = {193},
+  year      = {2025},
+  publisher = {Nature Portfolio},
+  doi       = {10.1038/s42004-025-01585-0},
+  url       = {https://doi.org/10.1038/s42004-025-01585-0}
+}
+```
 ```
 @misc{soares2024largeencoderdecoderfamilyfoundation,
       title={A Large Encoder-Decoder Family of Foundation Models For Chemical Language}, 
@@ -184,5 +199,4 @@ with torch.no_grad():
       primaryClass={cs.LG},
       url={https://arxiv.org/abs/2407.20267}, 
 }
-
 ```