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physics.flu-dyn2026
Data-efficient semi-supervised learning for flow estimation using unlabelled probe data
Junwei Chen, Marco Raiola, Stefano Discetti
Estimating time-resolved velocity and pressure fields from Particle Image Velocimetry (PIV) remains challenging due to its limited temporal resolution in many applications. Data-dr…
physics.flu-dyn2025
An efficient offline sensor placement method for flow estimation
Junwei Chen, Marco Raiola, Stefano Discetti
We present an efficient method to optimize sensor placement for flow estimation using sensors with time-delay embedding in advection-dominated flows. Our solution allows identifyin…
physics.flu-dyn2025
Advection-based multiframe iterative correction for pressure estimation from velocity fields
Junwei Chen, Marco Raiola, Stefano Discetti
A novel method to improve the accuracy of pressure field estimation from time-resolved Particle Image Velocimetry data is proposed. This method generates several new time-series of…