AINeutralarXiv – CS AI · 7h ago6/10
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(HB-ARFM) History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction
Researchers introduce History-Bootstrapped Flow Matching (HB-ARFM), a machine learning method for reconstructing complete spatiotemporal fields from partial observations, demonstrating particular success in recovering velocity and temperature fields from limited boiling dynamics data. The approach addresses a fundamental challenge in scientific inference where incomplete observations create ill-posed inverse problems that traditional single-timestep models cannot solve.