A deep equivariant neural network approach for efficient hybrid density functional calculations

Research article (Nature Communications, 2024) · cited 31× · AI/ML
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A deep equivariant neural network approach for efficient hybrid density functional calculations

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A deep equivariant neural network approach for efficient hybrid density functional calculations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A deep equivariant neural network approach for efficient hybrid density functional calculations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-equivariant-neural-network-approach-for-efficient-hybrid-density-functional-calculations
MLA “A deep equivariant neural network approach for efficient hybrid density functional calculations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-equivariant-neural-network-approach-for-efficient-hybrid-density-functional-calculations.
BibTeX @misc{4ortxyz_a-deep-equivariant-neural-network-approach-for-efficient-hybrid-density-functional-calculations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep equivariant neural network approach for efficient hybrid density functional calculations}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-equivariant-neural-network-approach-for-efficient-hybrid-density-functional-calculations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep equivariant neural network approach for efficient hybrid density functional calculations — https://4ort.xyz/entity/a-deep-equivariant-neural-network-approach-for-efficient-hybrid-density-functional-calculations (retrieved 2026-05-24)

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