Grid-point and time-step requirements for direct numerical simulation and large-eddy simulation XIA Yang, KP Griffin Physics of Fluids 33 (1), 2021 | 147 | 2021 |
Velocity transformation for compressible wall-bounded turbulent flows with and without heat transfer KP Griffin, L Fu, P Moin Proceedings of the National Academy of Sciences 118 (34), e2111144118, 2021 | 103 | 2021 |
General method for determining the boundary layer thickness in nonequilibrium flows KP Griffin, L Fu, P Moin Physical Review Fluids 6 (2), 024608, 2021 | 61 | 2021 |
Non-Boussinesq subgrid-scale model with dynamic tensorial coefficients R Agrawal, MP Whitmore, KP Griffin, ST Bose, P Moin Physical Review Fluids 7 (7), 074602, 2022 | 34 | 2022 |
Compressible velocity transformations for various noncanonical wall-bounded turbulent flows T Bai, KP Griffin, L Fu AIAA journal 60 (7), 4325-4337, 2022 | 31 | 2022 |
Control of long-range correlations in turbulence KP Griffin, NJ Wei, E Bodenschatz, GP Bewley Experiments in Fluids 60, 1-14, 2019 | 31 | 2019 |
Large-eddy simulation of a Gaussian bump with slip-wall boundary conditions MP Whitmore, KP Griffin, ST Bose, P Moin Center for Turbulence Research Annual Research Briefs, 45-58, 2021 | 20 | 2021 |
Direct fusion drive for a human Mars orbital mission M Paluszek, G Pajer, Y Razin, J Slonaker, S Cohen, R Feder, K Griffin, ... Proceedings, International Astronautical Congress (AIC) IAC-12, C4, 7-C3. 5, 10, 2014 | 18 | 2014 |
Current state and future trends in boundary layer control on lifting surfaces J Svorcan, JM Wang, KP Griffin Advances in Mechanical Engineering 14 (7), 16878132221112161, 2022 | 17 | 2022 |
Reducing neutron emission from small fusion rocket engines SA Cohen, M Chu-Cheong, R Feder, K Griffin, M Khodak, J Klabacha, ... 66th International Astronautical Congress, 7749-7759, 2015 | 17 | 2015 |
Investigation of quantum algorithms for direct numerical simulation of the Navier-Stokes equations KP Griffin, SS Jain, TJ Flint, WHR Chan Center for Turbulence Research Annual Research Briefs, 2019 | 12 | 2019 |
Near-wall model for compressible turbulent boundary layers based on an inverse velocity transformation KP Griffin, L Fu, P Moin Journal of Fluid Mechanics 970 (A36), 2023 | 10 | 2023 |
Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills D Zhou, MP Whitmore, KP Griffin, HJ Bae arXiv preprint arXiv:2211.16427, 2022 | 10 | 2022 |
Wall-modeled large-eddy simulation based on building-block flows Y Ling, G Arranz, E Williams, K Goc, K Griffin, A Lozano-Durán arXiv preprint arXiv:2212.05120, 2022 | 8 | 2022 |
Large-eddy simulation of flow over Boeing Gaussian bump using multi-agent reinforcement learning wall model D Zhou, MP Whitmore, KP Griffin, HJ Bae AIAA Aviation 2023 Forum, 3985, 2023 | 7 | 2023 |
The effect of compressibility on grid-point and time-step requirements for simulations of wall-bounded turbulent flows KP Griffin, L Fu, P Moin Annual Research Briefs–Center for Turbulence Research, 109-117, 2021 | 6 | 2021 |
A new ODE-based turbulence wall model accounting for pressure gradient and Reynolds number effects KP Griffin, L Fu arXiv preprint arXiv:2010.04097, 2020 | 6 | 2020 |
Dynamic modeling of non-Boussinesq subgrid-scale models for largeeddy simulations R Agrawal, M Whitmore, K Griffin, P Moin Center for Turbulence Research Annual Research Briefs, 31-43, 2021 | 4 | 2021 |
Study of the vortex structure in compressible wall-bounded turbulence T Bai, C Cheng, KP Griffin, X Li, L Fu Physical Review Fluids 8 (12), 124603, 2023 | 3 | 2023 |
Well-posedness of the slip wall boundary conditions for the LES equations K Griffin, S Bose, P Moin Bulletin of the American Physical Society 63, 2018 | 3 | 2018 |