Abstract
The finite element solution of the turbulent Navier–Stokes equations developed via (k[...]
Abstract
In the present work, we investigate the stability of turbulence closure predictions from neural network models and highlight the role of model-data-inconsistency during inference. We quantify this inconsistency by applying the Mahalanobis distance and demonstrate that the instability [...]