Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids

Research article (npj Computational Materials, 2023) · cited 75× · AI/ML
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Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids

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Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids. Retrieved May 24, 2026, from https://4ort.xyz/entity/transferable-equivariant-graph-neural-networks-for-the-hamiltonians-of-molecules-and-solids
MLA “Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transferable-equivariant-graph-neural-networks-for-the-hamiltonians-of-molecules-and-solids.
BibTeX @misc{4ortxyz_transferable-equivariant-graph-neural-networks-for-the-hamiltonians-of-molecules-and-solids_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids}}, year = {2026}, url = {https://4ort.xyz/entity/transferable-equivariant-graph-neural-networks-for-the-hamiltonians-of-molecules-and-solids}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids — https://4ort.xyz/entity/transferable-equivariant-graph-neural-networks-for-the-hamiltonians-of-molecules-and-solids (retrieved 2026-05-24)

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