44 citations · 131 across the 10 of their papers we have counts for
4 papers · 1 filter
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows
Sam F. Lewin, Stephen M. de Bruyn Kops, Gavin D. Portwood +1
Motivated by oceanographic observational datasets, we propose a probabilistic neural network (PNN) model for calculating turbulent energy dissipation rates from vertical columns of…
Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow
Varun Shankar, Gavin D. Portwood, Arvind T. Mohan +6
In fluid physics, data-driven models to enhance or accelerate solution methods are becoming increasingly popular for many application domains, such as alternatives to turbulence cl…
Analysis of scale-dependent kinetic and potential energy in sheared, stably stratified turbulence
Xiaolong Zhang, Rohit Dhariwal, Gavin Portwood +2
Budgets of turbulent kinetic energy (TKE) and turbulent potential energy (TPE) at different scales in sheared, stably stratified turbulence are analyzed using a filtering ap…
Multigrid Solver With Super-Resolved Interpolation
Francisco Holguin, GS Sidharth, Gavin Portwood
The multigrid algorithm is an efficient numerical method for solving a variety of elliptic partial differential equations (PDEs). The method damps errors at progressively finer gri…