HR job title
- Assistant Professor
- Contact Info
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Witherden, Freddie Assistant Professor
Positions
- Assistant Professor, Ocean Engineering, College of Engineering
- Faculty Affiliate, Energy Institute, Texas A&M Engineering Experiment Station (TEES)
- Overview
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Overview
Publications
selected publications
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academic article
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Taghizadeh, S., Witherden, F. D., & Girimaji, S. S.
(2024).
Scale-resolving simulations of turbulent flows with coherent structures: Toward cut-off dependent data-driven closure modeling. Physics of Fluids.
36(6), 065143.
-
Dzanic, T., & Witherden, F. D.
(2023).
Positivity-preserving entropy filtering for the ideal magnetohydrodynamics equations. 266, 106056-106056.
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Dzanic, T., Witherden, F. D., & Martinelli, L.
(2023).
A positivity-preserving and conservative high-order flux reconstruction method for the polyatomic Boltzmann-BGK equation. Journal of Computational Physics.
486, 112146-112146.
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Dzanic, T., Trojak, W., & Witherden, F. D.
(2023).
Bounds preserving temporal integration methods for hyperbolic conservation laws. Computers and Mathematics with Applications.
135, 6-18.
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Wang, L., Trojak, W., Witherden, F., & Jameson, A.
(2022).
Nonlinear p-Multigrid Preconditioner for Implicit Time Integration of Compressible Navier-Stokes Equations with p-Adaptive Flux Reconstruction. 93(3), 81.
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Dzanic, T., & Witherden, F. D.
(2022).
Positivity-preserving entropy-based adaptive filtering for discontinuous spectral element methods. Journal of Computational Physics.
468, 111501-111501.
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Trojak, W., Vadlamani, N. R., Tyacke, J., Witherden, F. D., & Jameson, A.
(2022).
Artificial compressibility approaches in flux reconstruction for incompressible viscous flow simulations. 247, 105634-105634.
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Petrov, M. S., Todorov, T. D., Walters, G. S., Williams, D. M., & Witherden, F. D.
(2022).
Enabling four-dimensional conformal hybrid meshing with cubic pyramids. Numerical Algorithms.
91(2), 671-709.
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Dzanic, T., Trojak, W., & Witherden, F. D.
(2022).
Utilizing time-reversibility for shock capturing in nonlinear hyperbolic conservation laws. Computers and Fluids.
247, 105652-105652.
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Dzanic, T., Girimaji, S. S., & Witherden, F. D.
(2022).
Partially-averaged Navier-Stokes simulations of turbulence within a high-order flux reconstruction framework. Journal of Computational Physics.
456, 110992-110992.
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Trojak, W., Watson, R., & Witherden, F. D.
(2022).
Hyperbolic diffusion in flux reconstruction: Optimisation through kernel fusion within tensor-product elements. Computer Physics Communications.
273, 108235-108235.
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Akkurt, S., Witherden, F., & Vincent, P.
(2022).
Cache blocking strategies applied to flux reconstruction. Computer Physics Communications.
271, 108193-108193.
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Giangaspero, G., Witherden, F., & Vincent, P.
(2022).
Synthetic Turbulence Generation for High-Order Scale-Resolving Simulations on Unstructured Grids. 60(2), 1032-1051.
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Taghizadeh, S., Witherden, F. D., Hassan, Y. A., & Girimaji, S. S.
(2021).
Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks. Physics of Fluids.
33(11), 115132.
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Frontin, C. V., Walters, G. S., Witherden, F. D., Lee, C. W., Williams, D. M., & Darmofal, D. L.
(2021).
Foundations of space-time finite element methods: Polytopes, interpolation, and integration. Applied Numerical Mathematics.
166, 92-113.
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Iyer, A. S., Abe, Y., Vermeire, B. C., Bechlars, P., Baier, R. D., Jameson, A., Witherden, F. D., & Vincent, P. E.
(2021).
High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade. Computers and Fluids.
226, 104989-104989.
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Witherden, F. D.
(2021).
Python at Petascale With PyFR or: How I Learned to Stop Worrying and Love the Snake. Computing in Science and Engineering.
23(4), 29-37.
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Trojak, W., & Witherden, F. D.
(2021).
A new family of weighted one-parameter flux reconstruction schemes. Computers and Fluids.
222, 104918-104918.
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Cox, C., Trojak, W., Dzanic, T., Witherden, F. D., & Jameson, A.
(2021).
Accuracy, stability, and performance comparison between the spectral difference and flux reconstruction schemes. Computers and Fluids.
221, 104922-104922.
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Morton, J., Kochenderfer, M. J., & Witherden, F. D.
(2021).
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows. AIAA Journal.
59(3), 825-841.
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Trojak, W., & Witherden, F. D.
(2021).
Inline vector compression for computational physics. Computer Physics Communications.
258, 107562-107562.
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Witherden, F. D., & Vincent, P. E.
(2021).
On nodal point sets for flux reconstruction. Journal of Computational and Applied Mathematics.
381, 113014-113014.
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Fowler, T. S., Witherden, F. D., & Girimaji, S. S.
(2020).
Partially-averaged Navier-Stokes simulations of turbulent flow past a square cylinder: Comparative assessment of statistics and coherent structures at different resolutions. 32(12), 125106-125106.
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Taghizadeh, S., Witherden, F. D., & Girimaji, S. S.
(2020).
Turbulence closure modeling with data-driven techniques: physical compatibility and consistency considerations. New Journal of Physics.
22(9), 093023-093023.
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Romero, J., Crabill, J., Watkins, J. E., Witherden, F. D., & Jameson, A.
(2020).
ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method. Computer Physics Communications.
250, 107169-107169.
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Witherden, F. D., & Jameson, A.
(2020).
Impact of Number Representation for High-Order Implicit Large-Eddy Simulations. AIAA Journal.
58(1), 184-197.
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Loppi, N. A., Witherden, F. D., Jameson, A., & Vincent, P. E.
(2019).
Locally adaptive pseudo-time stepping for high-order Flux Reconstruction. Journal of Computational Physics.
399, 108913-108913.
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Carlberg, K. T., Jameson, A., Kochenderfer, M. J., Morton, J., Peng, L., & Witherden, F. D.
(2019).
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. Journal of Computational Physics.
395, 105-124.
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Iyer, A. S., Witherden, F. D., Chernyshenko, S. I., & Vincent, P. E.
(2019).
Identifying eigenmodes of averaged small-amplitude perturbations to turbulent channel flow. Journal of Fluid Mechanics.
875, 758-780.
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Crabill, J., Witherden, F., & Jameson, A.
(2019).
High-order computational fluid dynamics simulations of a spinning golf ball. Sports Engineering.
22(1), 9.
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Loppi, N. A., Witherden, F. D., Jameson, A., & Vincent, P. E.
(2018).
A high-order cross-platform incompressible NavierStokes solver via artificial compressibility with application to a turbulent jet. Computer Physics Communications.
233, 193-205.
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Crabill, J., Witherden, F. D., & Jameson, A.
(2018).
A parallel direct cut algorithm for high-order overset methods with application to a spinning golf ball. Journal of Computational Physics.
374, 692-723.
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Witherden, F. D., & Jameson, A.
(2018).
On the spectrum of the Steger-Warming flux-vector splitting scheme. International Journal for Numerical Methods in Fluids.
87(12), 601-606.
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Romero, J., Witherden, F. D., & Jameson, A.
(2017).
A Direct Flux Reconstruction Scheme for AdvectionDiffusion Problems on Triangular Grids. Journal of Scientific Computing.
73(2-3), 1115-1144.
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Park, J. S., Witherden, F. D., & Vincent, P. E.
(2017).
High-Order Implicit Large-Eddy Simulations of Flow over a NACA0021 Aerofoil. AIAA Journal.
55(7), 2186-2197.
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Vermeire, B. C., Witherden, F. D., & Vincent, P. E.
(2017).
On the utility of GPU accelerated high-order methods for unsteady flow simulations: A comparison with industry-standard tools. Journal of Computational Physics.
334, 497-521.
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Witherden, F. D., Park, J. S., & Vincent, P. E.
(2016).
An Analysis of Solution Point Coordinates for Flux Reconstruction Schemes on Tetrahedral Elements. 69(2), 905-920.
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Wozniak, B. D., Witherden, F. D., Russell, F. P., Vincent, P. E., & Kelly, P.
(2016).
GiMMiKGenerating bespoke matrix multiplication kernels for accelerators: Application to high-order Computational Fluid Dynamics. Computer Physics Communications.
202, 12-22.
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Vincent, P. E., Farrington, A. M., Witherden, F. D., & Jameson, A.
(2015).
An extended range of stable-symmetric-conservative Flux Reconstruction correction functions. Computer Methods in Applied Mechanics and Engineering.
296, 248-272.
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Witherden, F. D., Vermeire, B. C., & Vincent, P. E.
(2015).
Heterogeneous computing on mixed unstructured grids with PyFR. Computers and Fluids.
120, 173-186.
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Witherden, F. D., & Vincent, P. E.
(2015).
On the identification of symmetric quadrature rules for finite element methods. Computers and Mathematics with Applications.
69(10), 1232-1241.
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Witherden, F. D., & Vincent, P. E.
(2014).
An Analysis of Solution Point Coordinates for Flux Reconstruction Schemes on Triangular Elements. 61(2), 398-423.
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Witherden, F. D., Farrington, A. M., & Vincent, P. E.
(2014).
PyFR: An open source framework for solving advectiondiffusion type problems on streaming architectures using the flux reconstruction approach. Computer Physics Communications.
185(11), 3028-3040.
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Taghizadeh, S., Witherden, F. D., & Girimaji, S. S.
(2024).
Scale-resolving simulations of turbulent flows with coherent structures: Toward cut-off dependent data-driven closure modeling. Physics of Fluids.
36(6), 065143.
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chapter
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Rasquin, M., Hillewaert, K., Colombo, A., Bassi, F., Massa, F., Puri, K., ... Vincent, P. E.
(2021).
Computational Campaign on the MTU T161 Cascade. Notes on Numerical Fluid Mechanics and Multidisciplinary Design.
TILDA: Towards Industrial LES/DNS in Aeronautics.
(pp. 479-518).
Springer Nature.
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Bassi, F., Botti, L., Verzeroli, L., Hartmann, R., Jägersküpper, J., Martin, E., ... Chalot, F.
(2021).
Parallelisation to Several Tens-of-Thousands of Cores. Notes on Numerical Fluid Mechanics and Multidisciplinary Design.
TILDA: Towards Industrial LES/DNS in Aeronautics.
(pp. 259-319).
Springer Nature.
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Witherden, F. D., Jameson, A., & Zingg, D. W.
(2017).
Chapter 11 The Design of Steady State Schemes for Computational Aerodynamics. Handbook of Numerical Analysis.
Handbook of Numerical Methods for Hyperbolic Problems - Applied and Modern Issues.
(pp. 303-349).
Elsevier.
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Witherden, F. D., Vincent, P. E., & Jameson, A.
(2016).
Chapter 10 High-Order Flux Reconstruction Schemes. Handbook of Numerical Analysis.
Handbook of Numerical Methods for Hyperbolic Problems - Basic and Fundamental Issues.
(pp. 227-263).
Elsevier.
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Enkovaara, J., Klemm, M., & Witherden, F.
(2015).
Chapter 14 High Performance Python Offloading. High Performance Parallelism Pearls.
(pp. 243-269).
Elsevier.
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Witherden, F. D., & Jameson, A.
Aerodynamics. Encyclopedia of Computational Mechanics Second Edition.
(pp. 1-107).
Wiley.
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Rasquin, M., Hillewaert, K., Colombo, A., Bassi, F., Massa, F., Puri, K., ... Vincent, P. E.
(2021).
Computational Campaign on the MTU T161 Cascade. Notes on Numerical Fluid Mechanics and Multidisciplinary Design.
TILDA: Towards Industrial LES/DNS in Aeronautics.
(pp. 479-518).
Springer Nature.
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conference paper
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Mishra, S., Witherden, F., Chakravorty, D., Perez, L., & Dang, F.
(2023).
Scaling Study of Flow Simulations on Composable Cyberinfrastructure. 221-225.
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Modi, R., Alhawwary, M. A., Akbarzadeh, A., Witherden, F., & Jameson, A.
(2023).
Aeroacoustics noise prediction for the airfoil-rod benchmark using high-order large eddy simulation on unstructured grids and the acoustic analogy approach in frequency-domain
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Akbarzadeh, A., Alhawwary, M., Witherden, F., & Jameson, A.
(2023).
Numerical prediction of drag crisis for smooth spheres using a high-order flux reconstruction method
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Hartman, D. W., Dzanic, T., Witherden, F., Tropina, A., & Miles, R. B.
(2021).
Numerical analysis and prediction of Aero-optical effects
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Trojak, W., Dzanic, T., & Witherden, F.
(2021).
Shock Capturing Methods in High-Order Flux Reconstruction I: Graph Viscosity and Convex Limiting Approaches
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Fowler, T. S., Witherden, F. D., & Girimaji, S. S.
(2020).
Pulsating Flow Past a Square Cylinder: Analysis of Force Coefficient Spectra and Vortex Structure Development. Journal of Fluids Engineering, Transactions of the ASME.
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Witherden, F., & Vincent, P.
(2020).
Experiences with OpenCL in PyFR. 1-1.
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Morton, J., Witherden, F. D., & Kochenderfer, M. J.
(2019).
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. 3173-3179.
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Morton, J., Witherden, F. D., Jameson, A., & Kochenderfer, M. J.
(2018).
Deep Dynamical Modeling and Control of Unsteady Fluid Flows. Advances in Neural Information Processing Systems.
9258-9268.
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Witherden, F. D., & Jameson, A.
(2017).
Future Directions in Computational Fluid Dynamics
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Vincent, P., Witherden, F., Vermeire, B., Park, J. S., & Iyer, A.
(2017).
Towards Green Aviation with Python at Petascale. International Conference for High Performance Computing, Networking, Storage and Analysis, SC.
1-11.
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Vermeire, B. C., Witherden, F. D., & Vincent, P.
(2015).
On the Utility of High-Order Methods for Unstructured Grids: A Comparison Between PyFR and Industry Standard Tools
-
Vincent, P., Witherden, F. D., Farrington, A. M., Ntemos, G., Vermeire, B. C., Park, J. S., & Iyer, A. S.
(2015).
PyFR: Next-Generation High-Order Computational Fluid Dynamics on Many-Core Hardware (Invited)
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Mengaldo, G., De Grazia, D., Witherden, F., Farrington, A., Vincent, P., Sherwin, S., & Peiro, J.
(2014).
A Guide to the Implementation of Boundary Conditions in Compact High-Order Methods for Compressible Aerodynamics
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Mishra, S., Chakravorty, D. K., Perez, L. M., Dang, F., Liu, H., & Witherden, F. D.
Impact of Memory Bandwidth on the Performance of Accelerators. 1-9.
-
Mishra, S., Witherden, F., Chakravorty, D., Perez, L., & Dang, F.
(2023).
Scaling Study of Flow Simulations on Composable Cyberinfrastructure. 221-225.
-
institutional repository document
-
Dzanic, T., Witherden, F. D., & Martinelli, L.
(2023).
Validation of wall boundary conditions for simulating complex fluid flows via the Boltzmann equation: Momentum transport and skin friction
-
Wang, L., Witherden, F., & Jameson, A.
(2023).
An efficient GPU-based h-adaptation framework via linear trees for the flux reconstruction method
-
Dzanic, T., Trojak, W., & Witherden, F. D.
(2023).
On the anti-aliasing properties of entropy filtering for discontinuous spectral element approximations of under-resolved turbulent flows
-
Dzanic, T., & Witherden, F. D.
(2023).
Positivity-preserving entropy filtering for the ideal magnetohydrodynamics equations
-
Dzanic, T., Witherden, F. D., & Martinelli, L.
(2022).
A positivity-preserving and conservative high-order flux reconstruction method for the polyatomic Boltzmann--BGK equation
-
Wang, L., Trojak, W., Witherden, F., & Jameson, A.
(2022).
Nonlinear p-multigrid preconditioner for implicit time integration of compressible Navier--Stokes equations
-
Dzanic, T., & Witherden, F. D.
(2022).
Positivity-Preserving Entropy-Based Adaptive Filtering for Discontinuous Spectral Element Methods
-
Trojak, W., Vadlamani, N. R., Tyacke, J., Witherden, F., & Jameson, A.
(2021).
Artificial Compressibility Approaches in Flux Reconstruction for Incompressible Viscous Flow Simulations
-
Dzanic, T., Trojak, W., & Witherden, F. D.
(2021).
Utilizing Time-Reversibility for Shock Capturing in Nonlinear Hyperbolic Conservation Laws
-
Trojak, W., Watson, R., & Witherden, F.
(2021).
Hyperbolic Diffusion in Flux Reconstruction: Optimisation through Kernel Fusion within Tensor-Product Elements
-
Dzanic, T., Trojak, W., & Witherden, F. D.
(2021).
Bounds Preserving Temporal Integration Methods for Hyperbolic Conservation Laws
-
Dzanic, T., Girimaji, S., & Witherden, F.
(2021).
Partially-Averaged Navier-Stokes Simulations of Turbulence Within a High-Order Flux Reconstruction Framework
-
Taghizadeh, S., Witherden, F., Hassan, Y., & Girimaji, S.
(2021).
Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks
-
Petrov, M. S., Todorov, T. D., Walters, G. S., Williams, D. M., & Witherden, F. D.
(2021).
Enabling four-dimensional conformal hybrid meshing with cubic pyramids
-
Frontin, C. V., Walters, G. S., Witherden, F. D., Lee, C. W., Williams, D. M., & Darmofal, D. L.
(2020).
Foundations of space-time finite element methods: polytopes, interpolation, and integration
-
Dzanic, T., Trojak, W., & Witherden, F. D.
(2020).
A Riemann Difference Scheme for Shock Capturing in Discontinuous Finite Element Methods
-
Cox, C., Trojak, W., Dzanic, T., Witherden, F., & Jameson, A.
(2020).
Accuracy, Stability, and Performance Comparison between the Spectral Difference and Flux Reconstruction Schemes
-
Trojak, W., & Witherden, F. D.
(2020).
On Fourier analysis of polynomial multigrid for arbitrary multi-stage cycles
-
Taghizadeh, S., Witherden, F. D., & Girimaji, S. S.
(2020).
Turbulence closure modeling with data-driven techniques: physical compatibility and consistency considerations
-
Trojak, W., & Witherden, F.
(2020).
Inline Vector Compression for Computational Physics
-
Morton, J., Witherden, F. D., & Kochenderfer, M. J.
(2019).
Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
-
Morton, J., Witherden, F. D., & Kochenderfer, M. J.
(2019).
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
-
Dzanic, T., Shah, K., & Witherden, F.
(2019).
Fourier Spectrum Discrepancies in Deep Network Generated Images
-
Carlberg, K. T., Jameson, A., Kochenderfer, M. J., Morton, J., Peng, L., & Witherden, F. D.
(2018).
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning
-
Crabill, J., Witherden, F., & Jameson, A.
(2018).
High-Order Computational Fluid Dynamics Simulations of a Spinning Golf Ball
-
Morton, J., Witherden, F. D., Jameson, A., & Kochenderfer, M. J.
(2018).
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
-
Trojak, W., & Witherden, F.
(2018).
A New Family of Weighted One-Parameter Flux Reconstruction Schemes
-
Crabill, J. A., Witherden, F. D., & Jameson, A.
(2017).
A Parallel Direct Cut Algorithm for High-Order Overset Methods with Application to a Spinning Golf Ball
-
Klemm, M., Witherden, F., & Vincent, P.
(2016).
Using the pyMIC Offload Module in PyFR
-
Witherden, F. D., & Vincent, P. E.
(2014).
On the Identification of Symmetric Quadrature Rules for Finite Element Methods
-
Witherden, F. D., Vermeire, B. C., & Vincent, P. E.
(2014).
Heterogeneous Computing on Mixed Unstructured Grids with PyFR
-
Witherden, F. D., Farrington, A. M., & Vincent, P. E.
(2013).
PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach
-
Dzanic, T., Witherden, F. D., & Martinelli, L.
(2023).
Validation of wall boundary conditions for simulating complex fluid flows via the Boltzmann equation: Momentum transport and skin friction
Teaching
teaching activities
- OCEN261 Applied Numerical Methods Instructor
- OCEN361 Applied Numerical Methods Instructor
- OCEN652 Numerical Methods Ocen Instructor
- OCEN652 Numerical Methods Ocen Instructor
- OCEN685 Directed Studies Instructor
- OCEN689 Sptp:numerical Analysis Instructor
- OCEN689 Sptp:numerical Methods Instructor
- OCEN691 Research Instructor
Contact
first name
- Freddie
has last name
- Witherden
Other
In the News
- Detecting Deepfakes News Release
- fdw@tamu.edu