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Physics-Informed Neural Networks Simulation and Validation of Airflows in Three-Dimensional Upper Respiratory Tracts

2025-10-29

Abstract excerpt

Accurate and efficient simulation of airflows in human airways is critical for advancing the understanding of respiratory physiology, disease diagnostics, and inhalation drug delivery. Traditional computational fluid dynamics (CFD) provides detailed predictions but is often mesh-sensitive and computationally expensive for complex geometries. In this study, we explored the usage of physics-informed neural networks...

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Literature Corpus work
1607cf78-c62b-589f-ac0c-98c4136bb47e
DOI
10.20944/preprints202510.2234.v1
Open publication

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Physics-Informed Neural Networks Simulation and Validation of Airflows in Three-Dimensional Upper Respiratory TractsDOI 10.20944/preprints202510.2234.v1
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