Smidt, Tess E.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Batzner, S., Musaelian, A., Sun, L., Geiger, M., Mailoa, J. P., Kornbluth, M., Molinari, N., Smidt, T. E., & Kozinsky, B. (2022) · Nature Communications

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

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Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Thomas, N., Smidt, T., Kearnes, S., Yang, L., Li, L., Kohlhoff, K., & Riley, P. (2018) · arXiv

3D Shape Modeling and AnalysisNeural Networks and Applications

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