Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks

Research article (The Journal of Physical Chemistry A, 2023) · cited 30× · AI/ML
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Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks

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Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-full-nmr-chemical-shift-tensors-of-silicon-oxides-with-equivariant-graph-neural-networks
MLA “Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-full-nmr-chemical-shift-tensors-of-silicon-oxides-with-equivariant-graph-neural-networks.
BibTeX @misc{4ortxyz_machine-learning-full-nmr-chemical-shift-tensors-of-silicon-oxides-with-equivariant-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Full NMR Chemical Shift Tensors of Silicon Oxides with Equivariant Graph Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-full-nmr-chemical-shift-tensors-of-silicon-oxides-with-equivariant-graph-neural-networks}, note = {Accessed: 2026-05-24}}
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