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README.md
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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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```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 .
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