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@@ -156,15 +156,5 @@ If you use this dataset, please cite:
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  ```
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  ## Source
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- The 3D datasets (e.g., Water3D, Sand3D, Plasticine3D, Jelly3D, RigidCollision3D, Melting3D) were generated using the NCLAW Simulator, developed by Ma et al. (ICML 2023).
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-
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- ```bibtex
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- @inproceedings{ma2023learning,
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- title={Learning neural constitutive laws from motion observations for generalizable pde dynamics},
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- author={Ma, Pingchuan and Chen, Peter Yichen and Deng, Bolei and Tenenbaum, Joshua B and Du, Tao and Gan, Chuang and Matusik, Wojciech},
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- booktitle={International Conference on Machine Learning},
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- pages={23279--23300},
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- year={2023},
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- organization={PMLR}
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- }
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- ```
 
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  ```
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  ## Source
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+ The 3D datasets (e.g., Water3D, Sand3D, Plasticine3D, Jelly3D, RigidCollision3D, Melting3D) were generated using the NCLAW Simulator,
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+ developed by ![Ma et al. (ICML 2023)](https://proceedings.mlr.press/v202/ma23a/ma23a.pdf).