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Operator inference and physics-informed learning of low-dimensional models for incompressible flows

Research article (ETNA - Electronic Transactions on Numerical Analysis, 2021) · cited 25× · AI/ML
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Operator inference and physics-informed learning of low-dimensional models for incompressible flows

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Operator inference and physics-informed learning of low-dimensional models for incompressible flows is a scholarly article[1].

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  • Operator inference and physics-informed learning of low-dimensional models for incompressible flows's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Operator inference and physics-informed learning of low-dimensional models for incompressible flows. Retrieved May 24, 2026, from https://4ort.xyz/entity/operator-inference-and-physics-informed-learning-of-low-dimensional-models-for-incompressible-flows
MLA “Operator inference and physics-informed learning of low-dimensional models for incompressible flows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/operator-inference-and-physics-informed-learning-of-low-dimensional-models-for-incompressible-flows.
BibTeX @misc{4ortxyz_operator-inference-and-physics-informed-learning-of-low-dimensional-models-for-incompressible-flows_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Operator inference and physics-informed learning of low-dimensional models for incompressible flows}}, year = {2026}, url = {https://4ort.xyz/entity/operator-inference-and-physics-informed-learning-of-low-dimensional-models-for-incompressible-flows}, note = {Accessed: 2026-05-24}}
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