2 papers
eess.SY2025
Data-driven optimization of sparse sensor placement in thermal hydraulic experiments
Xicheng Wang, Yun. Feng, Dmitry Grishchenko +3
Thermal-Hydraulic (TH) experiments provide valuable insight into the physics of heat and mass transfer and qualified data for code development, calibration and validation. However,…
physics.flu-dyn2025
Data-driven modeling for flow reconstruction from sparse temperature measurements
Xicheng Wang, YiMeng Chan, KinWing Wong +2
Measurement of the velocity field in thermal-hydraulic experiments is of great importance for phenomena interpretation and code validation. Direct measurement employing Particle Im…