Monthly Research!!

This study proposes a method using cGANs to predict invisible temperature fields and reconstruct boiling curves from bubble dynamics. It reflects that even without IR measurements, temperature fields and heat flux components can be estimated to predict CHF.  The approach enables quantitative analysis of boiling phenomena in data-deficient scenarios and supports model validation..  More+