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Combining direct and indirect sparse data for learning generalizable turbulence models

Research article (Journal of Computational Physics, 2023) · cited 23× · AI/ML
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Combining direct and indirect sparse data for learning generalizable turbulence models

Summary

Combining direct and indirect sparse data for learning generalizable turbulence models is a scholarly article[1].

Key Facts

  • Combining direct and indirect sparse data for learning generalizable turbulence models's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Combining direct and indirect sparse data for learning generalizable turbulence models. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-direct-and-indirect-sparse-data-for-learning-generalizable-turbulence-models
MLA “Combining direct and indirect sparse data for learning generalizable turbulence models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-direct-and-indirect-sparse-data-for-learning-generalizable-turbulence-models.
BibTeX @misc{4ortxyz_combining-direct-and-indirect-sparse-data-for-learning-generalizable-turbulence-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining direct and indirect sparse data for learning generalizable turbulence models}}, year = {2026}, url = {https://4ort.xyz/entity/combining-direct-and-indirect-sparse-data-for-learning-generalizable-turbulence-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining direct and indirect sparse data for learning generalizable turbulence models — https://4ort.xyz/entity/combining-direct-and-indirect-sparse-data-for-learning-generalizable-turbulence-models (retrieved 2026-05-24)

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