We present a comprehensive framework for augmenting turbulence models with physics-informed machine learning, illustrating a complete workflow from identification of input/output to prediction of mean velocities. The learned model has Galilean invariance and coordinate rotational invariance.
No takes yet. Share an insight, caveat, or question.
A 2018 study studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: