| Autonomic closure for turbulent flows using approximate bayesian computation O Doronina, J Christopher, CAZ Towery, P Hamlington, WJA Dahm 2018 AIAA Aerospace Sciences Meeting, 0594, 2018 | 8 | 2018 |
| Turbulence model development using Markov chain Monte Carlo approximate Bayesian computation O Doronina, CA Towery, JD Christopher, I Grooms, PE Hamlington AIAA Scitech 2019 Forum, 1883, 2019 | 6 | 2019 |
| Flow parameter estimation using laser absorption spectroscopy and approximate Bayesian computation JD Christopher, OA Doronina, D Petrykowski, TRS Hayden, C Lapointe, ... Experiments in Fluids 62, 1-20, 2021 | 5 | 2021 |
| Separable shape tensors for aerodynamic design ZJ Grey, OA Doronina, A Glaws Journal of Computational Design and Engineering 10 (1), 468-487, 2023 | 4 | 2023 |
| Grassmannian shape representations for aerodynamic applications OA Doronina, ZJ Grey, A Glaws arXiv preprint arXiv:2201.04649, 2022 | 4 | 2022 |
| Simulating aerodynanics of a moving body specified by immersed boundaries on dynamically adaptive unstructured meshes IV Abalakin, PA Bahvalov, OA Doronina, NS Zhdanova, TK Kozubskaya Mathematical Models and Computer Simulations 11, 35-45, 2019 | 4 | 2019 |
| Parameter Estimation for Reynolds-Averaged Navier–Stokes Models Using Approximate Bayesian Computation OA Doronina, SM Murman, PE Hamlington AIAA Journal 59 (11), 4703-4718, 2021 | 3 | 2021 |
| Parameter Estimation for Subgrid-Scale Models Using Markov Chain Monte Carlo Approximate Bayesian Computation OA Doronina, CAZ Towery, PE Hamlington arXiv preprint arXiv:2005.13993, 2020 | 3 | 2020 |
| Numerical study of acoustic radiation dynamics of a Rankine vortex OA Doronina, PA Bakhvalov, TK Kozubskaya Acoustical Physics 62, 467-477, 2016 | 2 | 2016 |
| Numerical simulation of acoustic waves scattering by isolated vortex structures OA Doronina, NS Zhdanova Matematicheskoe modelirovanie 25 (9), 85-94, 2013 | 2 | 2013 |
| Visualizations of a methane/diesel RCCI engine using PeleC and PeleLMeX NT Wimer, L Esclapez, N Brunhart-Lupo, MH de Frahan, M Rahimi, ... Physical Review Fluids 8 (11), 110511, 2023 | 1 | 2023 |
| Invertible neural networks for aerodynamic design of wind turbine blades A Glaws, G Vijayakumar, R King, O Doronina, J Baeder, B Lee, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2022 | 1 | 2022 |
| G2Aero (G2Aero: Separable shape tensors for aerodynamic applications) O Doronina, A Glaws, R King, G Vijayakumar, Z Grey National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2022 | 1 | 2022 |
| Parameter Estimation for RANS Models Using Approximate Bayesian Computation OA Doronina, SM Murman, PE Hamlington arXiv preprint arXiv:2011.01231, 2020 | 1 | 2020 |
| Turbulence Model Development Using Approximate Bayesian Computation OA Doronina University of Colorado at Boulder, 2020 | 1 | 2020 |
| Simulation of aerodynamics of a moving body prescribed by immersed boundaries on dynamically adaptative unstructured mesh IV Abalakin, PA Bakhvalov, OA Doronina, NS Zhdanova, TK Kozubskaya Matematicheskoe modelirovanie 30 (5), 57-75, 2018 | 1 | 2018 |
| Adaptive Computing for Scale-up Problems H Egan, KP Griffin, MTH de Frahan, J Mueller, D Vaidhynatha, D Wald, ... arXiv preprint arXiv:2404.00053, 2024 | | 2024 |
| Influence of Real Gas Effects on Chemical Kinetics in Oxycombustion in Supercritical Carbon Dioxide M Rahimi, M Henry de Frahan, O Doronina, B Perry, S Yellapantula, ... National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2024 | | 2024 |
| Handling Iterative Solvers in an Algorithmic Differentiation Framework Using Implicit Methods JM Allen, O Doronina, J Maack, E Young, A Ning, A Cardoza, E Green National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2024 | | 2024 |
| 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 | | 2024 |
