120 citations · 143 across the 11 of their papers we have counts for
3 papers · 1 filter
A fully-differentiable compressible high-order computational fluid dynamics solver
Deniz A. Bezgin, Aaron B. Buhendwa, Nikolaus A. Adams
Fluid flows are omnipresent in nature and engineering disciplines. The reliable computation of fluids has been a long-lasting challenge due to nonlinear interactions over multiple…
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method
Aaron B. Buhendwa, Deniz A. Bezgin, Nikolaus Adams
Recently, machine learning has been used to substitute parts of conventional computational fluid dynamics, e.g. the cell-face reconstruction in finite-volume solvers or the curvatu…
Normalizing Flows as a Novel PDF Turbulence Model
Deniz A. Bezgin, Nikolaus A. Adams
In this paper, we propose normalizing flows (NF) as a novel probability density function (PDF) turbulence model (NF-PDF model) for the Reynolds-averaged Navier-Stokes (RANS) equati…