| PyFR: An open source framework for solving advection–diffusion type problems on streaming architectures using the flux reconstruction approach FD Witherden, AM Farrington, PE Vincent Computer Physics Communications 185 (11), 3028-3040, 2014 | 341 | 2014 |
| Deep dynamical modeling and control of unsteady fluid flows J Morton, A Jameson, MJ Kochenderfer, F Witherden Advances in Neural Information Processing Systems 31, 2018 | 187 | 2018 |
| On the utility of GPU accelerated high-order methods for unsteady flow simulations: A comparison with industry-standard tools BC Vermeire, FD Witherden, PE Vincent Journal of Computational Physics 334, 497-521, 2017 | 160 | 2017 |
| Fourier spectrum discrepancies in deep network generated images T Dzanic, K Shah, F Witherden Advances in neural information processing systems 33, 3022-3032, 2020 | 124 | 2020 |
| Towards green aviation with python at petascale P Vincent, F Witherden, B Vermeire, JS Park, A Iyer SC'16: Proceedings of the International Conference for High Performance …, 2016 | 103 | 2016 |
| On the identification of symmetric quadrature rules for finite element methods FD Witherden, PE Vincent Computers & Mathematics with Applications 69 (10), 1232-1241, 2015 | 102 | 2015 |
| Heterogeneous computing on mixed unstructured grids with PyFR FD Witherden, BC Vermeire, PE Vincent Computers & Fluids 120, 173-186, 2015 | 85 | 2015 |
| A guide to the implementation of boundary conditions in compact high-order methods for compressible aerodynamics G Mengaldo, D De Grazia, F Witherden, A Farrington, P Vincent, ... 7th AIAA Theoretical Fluid Mechanics Conference, 2923, 2014 | 83 | 2014 |
| Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning KT Carlberg, A Jameson, MJ Kochenderfer, J Morton, L Peng, ... Journal of Computational Physics 395, 105-124, 2019 | 78 | 2019 |
| Future directions in computational fluid dynamics FD Witherden, A Jameson 23rd AIAA Computational Fluid Dynamics Conference, 3791, 2017 | 76 | 2017 |
| High-order implicit large-eddy simulations of flow over a NACA0021 aerofoil JS Park, FD Witherden, PE Vincent AIAA journal 55 (7), 2186-2197, 2017 | 64 | 2017 |
| A high-order cross-platform incompressible Navier–Stokes solver via artificial compressibility with application to a turbulent jet NA Loppi, FD Witherden, A Jameson, PE Vincent Computer Physics Communications 233, 193-205, 2018 | 59 | 2018 |
| An extended range of stable-symmetric-conservative flux reconstruction correction functions PE Vincent, AM Farrington, FD Witherden, A Jameson Computer Methods in Applied Mechanics and Engineering 296, 248-272, 2015 | 58 | 2015 |
| Turbulence closure modeling with data-driven techniques: physical compatibility and consistency considerations S Taghizadeh, FD Witherden, SS Girimaji New Journal of Physics 22 (9), 093023, 2020 | 53 | 2020 |
| Deep variational koopman models: Inferring koopman observations for uncertainty-aware dynamics modeling and control J Morton, FD Witherden, MJ Kochenderfer arXiv preprint arXiv:1902.09742, 2019 | 53 | 2019 |
| An analysis of solution point coordinates for flux reconstruction schemes on triangular elements FD Witherden, PE Vincent Journal of Scientific Computing 61, 398-423, 2014 | 43 | 2014 |
| Positivity-preserving entropy-based adaptive filtering for discontinuous spectral element methods T Dzanic, FD Witherden Journal of Computational Physics 468, 111501, 2022 | 38 | 2022 |
| GiMMiK—Generating bespoke matrix multiplication kernels for accelerators: Application to high-order Computational Fluid Dynamics BD Wozniak, FD Witherden, FP Russell, PE Vincent, PHJ Kelly Computer Physics Communications 202, 12-22, 2016 | 36 | 2016 |
| ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method J Romero, J Crabill, JE Watkins, FD Witherden, A Jameson Computer Physics Communications 250, 107169, 2020 | 35 | 2020 |
| A parallel direct cut algorithm for high-order overset methods with application to a spinning golf ball J Crabill, FD Witherden, A Jameson Journal of Computational Physics 374, 692-723, 2018 | 34 | 2018 |
