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A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask

Research article (Engineering Analysis with Boundary Elements, 2023) · cited 13× · AI/ML
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A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask

Summary

A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask is a scholarly article[1].

Key Facts

  • A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask'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). A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-combination-of-large-eddy-simulation-and-physics-informed-machine-learning-to-predict-pore-scale-flow-behaviours-in-fi
MLA “A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-combination-of-large-eddy-simulation-and-physics-informed-machine-learning-to-predict-pore-scale-flow-behaviours-in-fi.
BibTeX @misc{4ortxyz_a-combination-of-large-eddy-simulation-and-physics-informed-machine-learning-to-predict-pore-scale-flow-behaviours-in-fi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask}}, year = {2026}, url = {https://4ort.xyz/entity/a-combination-of-large-eddy-simulation-and-physics-informed-machine-learning-to-predict-pore-scale-flow-behaviours-in-fi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask — https://4ort.xyz/entity/a-combination-of-large-eddy-simulation-and-physics-informed-machine-learning-to-predict-pore-scale-flow-behaviours-in-fi (retrieved 2026-05-24)

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