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README.md

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 # MatSciBERT
 ## A Materials Domain Language Model for Text Mining and Information Extraction
 
-This is the pretrained model presented in [MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction](https://arxiv.org/abs/2109.15290), which is a BERT model trained on material science research papers.
+This is the pretrained model presented in [[MatSciBERT: A materials domain language model for text mining and information extraction](https://rdcu.be/cMAp5), which is a BERT model trained on material science research papers.
 
-The training corpus comprises papers related to the broad category of materials: alloys, glasses, metallic glasses, cement and concrete. We have utilised the abstracts and full length of papers(when available). All the research papers have been downloaded from [ScienceDirect](https://www.sciencedirect.com/) using the [Elsevier API](https://dev.elsevier.com/). The detailed methodology is given in the paper.
+The training corpus comprises papers related to the broad category of materials: alloys, glasses, metallic glasses, cement and concrete. We have utilised the abstracts and full text of papers(when available). All the research papers have been downloaded from [ScienceDirect](https://www.sciencedirect.com/) using the [Elsevier API](https://dev.elsevier.com/). The detailed methodology is given in the paper.
 
 The codes for pretraining and finetuning on downstream tasks are shared on [GitHub](https://github.com/m3rg-repo/MatSciBERT).
 
 If you find this useful in your research, please consider citing:
 ```
-@article{gupta_matscibert_2021,
-  title = {{{MatSciBERT}}: A {{Materials Domain Language Model}} for {{Text Mining}} and {{Information Extraction}}},
-  shorttitle = {{{MatSciBERT}}},
-  author = {Gupta, Tanishq and Zaki, Mohd and Krishnan, N. M. Anoop and Mausam},
-  year = {2021},
-  month = sep,
-  journal = {arXiv:2109.15290 [cond-mat]},
-  eprint = {2109.15290},
-  eprinttype = {arxiv},
-  primaryclass = {cond-mat},
-  archiveprefix = {arXiv},
-  keywords = {Computer Science - Computation and Language,Condensed Matter - Materials Science}}
+@article{gupta_matscibert_2022,
+  title = {{{MatSciBERT}}: {{A}} Materials Domain Language Model for Text Mining and Information Extraction},
+  author = {Gupta, Tanishq and Zaki, Mohd and Krishnan, N. M. Anoop and {Mausam}},
+  year = {2022},
+  month = may,
+  journal = {npj Computational Materials},
+  volume = {8},
+  number = {1},
+  pages = {102},
+  issn = {2057-3960},
+  doi = {10.1038/s41524-022-00784-w}
 }
-```
+```
+widget:
+- text: "Na2O is a network [MASK]."