no code implementations • 3 May 2021 • Jonathan F. MacArt, Justin Sirignano, Jonathan B. Freund
The weights of a deep neural network model are optimized in conjunction with the governing flow equations to provide a model for sub-grid-scale stresses in a temporally developing plane turbulent jet at Reynolds number $Re_0=6\, 000$.
no code implementations • 20 Nov 2019 • Jonathan B. Freund, Jonathan F. MacArt, Justin Sirignano
A deep neural network is embedded in a partial differential equation (PDE) that expresses the known physics and learns to describe the corresponding unknown or unrepresented physics from the data.
