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<img width="559" height="200" src="https://github.com/FAIR-Chem/fairchem/assets/45150244/5872c21c-8f39-41af-b703-af9817f0affe"?
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Meta's FAIR Chemistry team is focused on making AI advancements in the fields of chemistry and materials science.
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<img width="559" height="200" src="https://github.com/FAIR-Chem/fairchem/assets/45150244/5872c21c-8f39-41af-b703-af9817f0affe"?
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## FAIR Chemistry at Meta
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Welcome to the Hugging Face organization for the FAIR Chemistry team at Meta. Meta's FAIR Chemistry team is focused on making AI advancements in the fields of chemistry and materials science.
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The models and datasets available in our Hugging Face repository are described below:
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### Open Materials 2024 (OMat24)
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#### Pretrained models: https://huggingface.co/fairchem/OMAT24
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#### Datasets: https://huggingface.co/datasets/fairchem/OMAT24
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All code used for model training and data generation can be found at https://github.com/FAIR-Chem/fairchem.
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All other datasets and pretrained models (OC20, OC22, ODAC) can be found at the following:
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#### Pretrained models: https://fair-chem.github.io/core/model_checkpoints.html
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#### Datasets: https://fair-chem.github.io/core/datasets/oc20.html
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We hope to migrate all our pretrained models and datasets to HF in the near future!
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### Connect
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- [Website](https://opencatalystproject.org/)
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- [Github](https://github.com/FAIR-Chem/fairchem)
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- [Discussion board](https://discuss.opencatalystproject.org/)
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- [Youtube](https://www.youtube.com/@opencatalystproject3509)
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- [Twitter/X](https://x.com/OpenCatalyst)
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