| A new limiting procedure for discontinuous Galerkin methods applied to compressible multiphase flows with shocks and interfaces MTH de Frahan, S Varadan, E Johnsen Journal of Computational Physics 280, 489-509, 2015 | 66 | 2015 |
| Deep learning for presumed probability density function models MTH de Frahan, S Yellapantula, R King, MS Day, RW Grout Combustion and Flame 208, 436-450, 2019 | 65 | 2019 |
| Adaptive mesh based combustion simulations of direct fuel injection effects in a supersonic cavity flame-holder H Sitaraman, S Yellapantula, MTH de Frahan, B Perry, J Rood, R Grout, ... Combustion and Flame 232, 111531, 2021 | 46 | 2021 |
| PeleC: An adaptive mesh refinement solver for compressible reacting flows MT Henry de Frahan, JS Rood, MS Day, H Sitaraman, S Yellapantula, ... The International Journal of High Performance Computing Applications 37 (2 …, 2023 | 42 | 2023 |
| Numerical simulations of a shock interacting with successive interfaces using the discontinuous Galerkin method: The multilayered Richtmyer–Meshkov and Rayleigh–Taylor … MT Henry de Frahan, P Movahed, E Johnsen Shock Waves 25, 329-345, 2015 | 34 | 2015 |
| Observation and modeling of mixing-layer development in high-energy-density, blast-wave-driven shear flow CA Di Stefano, G Malamud, MT Henry de Frahan, CC Kuranz, A Shimony, ... Physics of Plasmas 21 (5), 2014 | 25 | 2014 |
| Experimental and numerical investigations of beryllium strength models using the Rayleigh-Taylor instability MT Henry de Frahan, JL Belof, RM Cavallo, VA Raevsky, ON Ignatova, ... Journal of Applied Physics 117 (22), 2015 | 19 | 2015 |
| Machine learning of combustion LES models from reacting direct numerical simulation S Yellapantula, MTH de Frahan, R King, M Day, R Grout Data analysis for direct numerical simulations of turbulent combustion: from …, 2020 | 15 | 2020 |
| Co-optimized machine-learned manifold models for large eddy simulation of turbulent combustion BA Perry, MTH de Frahan, S Yellapantula Combustion and Flame 244, 112286, 2022 | 12 | 2022 |
| A weighted state redistribution algorithm for embedded boundary grids A Giuliani, AS Almgren, JB Bell, MJ Berger, MTH de Frahan, ... Journal of Computational Physics 464, 111305, 2022 | 11 | 2022 |
| Deep reinforcement learning for dynamic control of fuel injection timing in multi-pulse compression ignition engines MT Henry de Frahan, NT Wimer, S Yellapantula, RW Grout International Journal of Engine Research 23 (9), 1503-1521, 2022 | 10 | 2022 |
| PeleLMeX: an AMR Low Mach Number Reactive Flow Simulation Code without level sub-cycling L Esclapez, M Day, J Bell, A Felden, C Gilet, R Grout, MH de Frahan, ... Journal of Open Source Software 8 (NREL/JA-2C00-85410), 2023 | 7 | 2023 |
| Visualizations of direct fuel injection effects in a supersonic cavity flameholder H Sitaraman, N Brunhart-Lupo, MH de Frahan, S Yellapantula, B Perry, ... Physical Review Fluids 6 (11), 110504, 2021 | 7 | 2021 |
| Numerical simulations of shock and rarefaction waves interacting with interfaces in compressible multiphase flows MT Henry de Frahan | 7 | 2016 |
| Discontinuous Galerkin method for multifluid Euler equations MT Henry de Frahan, E Johnsen AIAA paper 2595, 2013 | 6 | 2013 |
| ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows A Sharma, MJ Brazell, G Vijayakumar, S Ananthan, L Cheung, ... Wind Energy, 2024 | 5 | 2024 |
| Pele: an exascale-ready suite of combustion codes M Day, L Esclapez, M Henry de Frahan, J Rood, H Sitaraman, N Wimer, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022 | 5 | 2022 |
| Data recovery in computational fluid dynamics through deep image priors MTH de Frahan, RW Grout arXiv preprint arXiv:1901.11113, 2019 | 5 | 2019 |
| High-order discontinuous Galerkin methods applied to multiphase flows M Henry de Frahan, E Johnsen 22nd AIAA Computational Fluid Dynamics Conference, 3045, 2015 | 3 | 2015 |
| The Pele Simulation Suite for Reacting Flows at Exascale MTH de Frahan, L Esclapez, J Rood, N Wimer, P Mullowney, BA Perry, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2024 | 2 | 2024 |
Shashank YellapantulaNREL在 nrel.gov 的电子邮件经过验证
