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 (2023)
Attributed to:
Risk EvaLuatIon fAst iNtelligent Tool (RELIANT) for COVID19
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.enganabound.2023.01.010
Publication URI: http://dx.doi.org/10.1016/j.enganabound.2023.01.010
Type: Journal Article/Review
Parent Publication: Engineering Analysis with Boundary Elements