activity
20172023
most citedDeep Dynamical Modeling and Control of Unsteady Fluid Flows

106 citations · 267 across the 7 of their papers we have counts for

collaborators

9 papers

physics.flu-dyn2023

An efficient GPU-based h-adaptation framework via linear trees for the flux reconstruction method

Lai Wang, Freddie Witherden, Antony Jameson

In this paper, we develop the first entirely graphic processing unit (GPU) based h-adaptive flux reconstruction (FR) method with linear trees. The adaptive solver fully operates on…

math.NA2022

Nonlinear p-multigrid preconditioner for implicit time integration of compressible Navier--Stokes equations

Lai Wang, Will Trojak, Freddie Witherden +1

Within the framework of -adaptive flux reconstruction, we aim to construct efficient polynomial multigrid (MG) preconditioners for implicit time integration of the Navier--…

physics.flu-dyn2021★ 21 cited

Artificial Compressibility Approaches in Flux Reconstruction for Incompressible Viscous Flow Simulations

Will Trojak, Nagabhushana Rao Vadlamani, James Tyacke +2

Several competing artificial compressibility methods for the incompressible flow equations are examined using the high-order flux reconstruction method. The established artificial…

physics.comp-ph2020★ 34 cited

Accuracy, Stability, and Performance Comparison between the Spectral Difference and Flux Reconstruction Schemes

Christopher Cox, Will Trojak, Tarik Dzanic +2

We report the development of a discontinuous spectral element flow solver that includes the implementation of both spectral difference and flux reconstruction formulations. With th…

physics.comp-ph2018★ 74 cited

Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning

Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer +3

Data I/O poses a significant bottleneck in large-scale CFD simulations; thus, practitioners would like to significantly reduce the number of times the solution is saved to disk, ye…

physics.flu-dyn2018

High-Order Computational Fluid Dynamics Simulations of a Spinning Golf Ball

Jacob Crabill, Freddie Witherden, Antony Jameson

This paper presents the first high-order computational fluid dynamics (CFD) simulations of static and spinning golf balls at realistic flow conditions. The present results are show…

cs.CE2018★ 106 cited

Deep Dynamical Modeling and Control of Unsteady Fluid Flows

Jeremy Morton, Freddie D. Witherden, Antony Jameson +1

The design of flow control systems remains a challenge due to the nonlinear nature of the equations that govern fluid flow. However, recent advances in computational fluid dynamics…

physics.comp-ph2017★ 32 cited

A Parallel Direct Cut Algorithm for High-Order Overset Methods with Application to a Spinning Golf Ball

Jacob A. Crabill, Freddie D. Witherden, Antony Jameson

Overset methods are commonly employed to enable the effective simulation of problems involving complex geometries and moving objects such as rotorcraft. This paper presents a novel…

math.NA2017

Preconditioned smoothers for the full approximation scheme for the RANS equations

Philipp Birken, Jonathan Bull, Antony Jameson

We consider multigrid methods for finite volume discretizations of the Reynolds Averaged Navier-Stokes (RANS) equations for both steady and unsteady flows. We analyze the effect of…