189 citations
- Infineon Technologies (Austria)AT8 papers
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physics.flu-dyn2022★ 28 cited
Velocity Reconstruction in Puffing Pool Fires with Physics-Informed Neural Networks
Michael Philip Sitte, Nguyen Anh Khoa Doan
Pool fires are canonical representations of many accidental fires, which can exhibit an unstable unsteady behaviour, known as puffing, which involves a strong coupling between the…
physics.flu-dyn2016★ 2 cited
Magnetic resonance imaging of flow and mass transfer in electrohydrodynamic liquid bridges
Adam D. Wexler, Sandra Drusova, Elmar C. Fuchs +4
Here we report on the feasibility and use of magnetic resonance imaging based methods to the study of electrohydrodynamic (EHD) liquid bridges. High speed tomographic recordings th…