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physics.comp-ph2026
Physics-informed Kolmogorov-Arnold networks (PIKANs) for noise-robust reconstruction of boiling heat flux from infrared measurements
Siavash Khodakarami, Parimala Vardhan Vydyula, Aniruddha Bora +2
Recovering a noise-amplified inverse quantity from corrupted boundary data is a recurring problem in physics-informed learning for real-world applications. Specifically, small pert…
physics.comp-ph2025
Optical to infrared mapping of vapor-to-liquid phase change dynamics using generative machine learning
Siavash Khodakarami, Pouya Kabirzadeh, Chi Wang +2
Infrared thermography is a powerful tool for studying liquid-to-vapor phase change processes. However, its application has been limited in the study of vapor-to-liquid phase transi…