Constructing Neural Network-Based Models for Simulating Dynamical Systems

1 code implementation • 2 Nov 2021 • Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgoňa, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen

Dynamical systems see widespread use in natural sciences like physics, biology, chemistry, as well as engineering disciplines such as circuit analysis, computational fluid dynamics, and control.

A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows

1 code implementation • 29 Apr 2019 • Maurits H. Silvis, H. Jane Bae, F. Xavier Trias, Mahdi Abkar, Roel Verstappen

Using detailed direct numerical simulations (DNSs) and LESs of rotating decaying turbulence and spanwise-rotating plane-channel flow, we reveal that the two model terms respectively account for dissipation and backscatter of energy, and that the nonlinear term improves predictions of the Reynolds stress anisotropy near solid walls.

Fluid Dynamics