| Modeling partially premixed combustion behavior in multiphase LES E Knudsen, Shashank, H Pitsch Combustion and Flame 162 (1), 159-180, 2015 | 102 | 2015 |
| Deep learning for presumed probability density function models RWG Marc T. Henry de Frahan, Shashank Yellapantula, Ryan King, Marc S. Day Combustion and Flame 208, 436-450, 2019 | 64 | 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 | 43 | 2023 |
| A co-located incompressible Navier–Stokes solver with exact mass, momentum and kinetic energy conservation in the inviscid limit Shashank, J Larsson, G Iaccarino Journal of Computational Physics 229 (12), 4425-4430, 2010 | 39 | 2010 |
| Roadmap to advance heliostat technologies for concentrating solar-thermal power G Zhu, C Augustine, R Mitchell, M Muller, P Kurup, A Zolan, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022 | 28 | 2022 |
| Deep learning-based model for progress variable dissipation rate in turbulent premixed flames S Yellapantula, BA Perry, RW Grout Proceedings of the Combustion Institute 38 (2), 2929-2938, 2021 | 24 | 2021 |
| A comparison of classical and aggregation-based algebraic multigrid preconditioners for high-fidelity simulation of wind turbine incompressible flows SJ Thomas, S Ananthan, S Yellapantula, JJ Hu, M Lawson, MA Sprague SIAM Journal on Scientific Computing 41 (5), S196-S219, 2019 | 22 | 2019 |
| A numerical study of H2-air rotating detonation combustor S Yellapantula, V Tangirala, K Singh, J Haynes International Colloquium on the Dynamics of Explosions and Reactive Systems …, 2017 | 21 | 2017 |
| 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 |
| Wind farm response to mesoscale-driven coastal low level jets: a multiscale large eddy simulation study T Chatterjee, J Li, S Yellapantula, B Jayaraman, E Quon Journal of Physics: Conference Series 2265 (2), 022004, 2022 | 13 | 2022 |
| Towards multi-fidelity deep learning of wind turbine wakes S Pawar, A Sharma, G Vijayakumar, CJ Bay, S Yellapantula, O San Renewable Energy 200, 867-879, 2022 | 12 | 2022 |
| 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 |
| 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 |
| Enhancement of unsteady and 3D aerodynamics models using machine learning G Vijayakumar, S Yellapantula, E Branlard, S Ananthan Journal of Physics: Conference Series 1452 (1), 012065, 2020 | 10 | 2020 |
| How equation of state selection impacts accuracy near the critical point: Forced convection supercritical CO2 flow over a cylinder E Rasmussen, S Yellapantula, MJ Martin The Journal of Supercritical Fluids 171, 105141, 2021 | 9 | 2021 |
| Spray evaporation model sensitivities Shashank, E Knuden, H Pitsch Annual Research Briefs, Center for Turbulence Research 2011, 213-224, 2011 | 9 | 2011 |
| 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 | 8 | 2021 |
| LES of spray and combustion in an internal combustion engine D Kah, V MIttal, S Yellapantula, H Pitsch Annual Research Briefs, Center for Turbulence Research 2012, 43-54, 2012 | 8 | 2012 |
| A DNN surrogate unsteady aerodynamic model for wind turbine loads calculations S Ananthan, G Vijayakumar, S Yellapantula Journal of Physics: Conference Series 1618 (5), 052060, 2020 | 7 | 2020 |
Marc T. Henry de FrahanComputational Scientist, National Renewable Energy Laboratory在 nrel.gov 的电子邮件经过验证
