Datasets:
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This dataset contains 3D metamaterial lattice structures for predicting mechanical modulus properties, including **Young's modulus**, **Shear modulus**, and **Poisson's ratio**. Each sample is preprocessed into a format compatible with **[PyTorch Geometric (PyG)](https://pytorch-geometric.readthedocs.io/en/latest/)** for downstream machine learning tasks such as structure-property prediction, graph representation learning, and lattice optimization.
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Check our paper on [arxiv.org/abs/2505.20299](arxiv.org/abs/2505.20299) for more details.
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This dataset contains 3D metamaterial lattice structures for predicting mechanical modulus properties, including **Young's modulus**, **Shear modulus**, and **Poisson's ratio**. Each sample is preprocessed into a format compatible with **[PyTorch Geometric (PyG)](https://pytorch-geometric.readthedocs.io/en/latest/)** for downstream machine learning tasks such as structure-property prediction, graph representation learning, and lattice optimization.
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Check our paper on [arxiv.org/abs/2505.20299](https://arxiv.org/abs/2505.20299) for more details.
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