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README.md
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@@ -15,7 +15,7 @@ it supports the development of MLIPs that robustly capture general chemical reac
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- full details on the construction of the dataset
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- evaluation results on the dataset
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# Citation
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If using this dataset, please cite our work as follows:
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- full details on the construction of the dataset
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- evaluation results on the dataset
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We also provide [SNet-T25](https://huggingface.co/aixsim/SNet-T25), an MLIP trained on Titan25.
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# Citation
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If using this dataset, please cite our work as follows:
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