Priyank H. Mehta

Realizability-constrained machine learning for turbulence closures in wake flows

Computational fluid dynamics (CFD)-driven machine learning frameworks based on symbolic regression offer a promising pathway for turbulence model discovery, but are often hindered by numerical instability, residual stagnation, and violations of realizability during training. In p...