Combustion machine learning: Principles, progress and prospects M Ihme, WT Chung, AA Mishra Progress in Energy and Combustion Science 91, 101010, 2022 | 142 | 2022 |
Eigenspace perturbations for uncertainty estimation of single-point turbulence closures G Iaccarino, AA Mishra, S Ghili Physical Review Fluids 2 (2), 024605, 2017 | 109 | 2017 |
Uncertainty estimation module for turbulence model predictions in SU2 AA Mishra, J Mukhopadhaya, G Iaccarino, J Alonso AIAA Journal 57 (3), 1066-1077, 2019 | 78 | 2019 |
Toward approximating non-local dynamics in single-point pressure–strain correlation closures AA Mishra, SS Girimaji Journal of Fluid Mechanics 811, 168-188, 2017 | 67 | 2017 |
Uncertainty estimation for reynolds-averaged navier–stokes predictions of high-speed aircraft nozzle jets AA Mishra, G Iaccarino AIAA Journal 55 (11), 3999-4004, 2017 | 57 | 2017 |
Intercomponent energy transfer in incompressible homogeneous turbulence: multi-point physics and amenability to one-point closures AA Mishra, SS Girimaji Journal of Fluid Mechanics 731, 639-681, 2013 | 57 | 2013 |
Pressure–strain correlation modeling: towards achieving consistency with rapid distortion theory AA Mishra, SS Girimaji Flow, turbulence and combustion 85, 593-619, 2010 | 51 | 2010 |
On the realizability of pressure–strain closures AA Mishra, SS Girimaji Journal of fluid mechanics 755, 535-560, 2014 | 50 | 2014 |
Data-assisted combustion simulations with dynamic submodel assignment using random forests WT Chung, AA Mishra, N Perakis, M Ihme Combustion and Flame 227, 172-185, 2021 | 46 | 2021 |
Design exploration and optimization under uncertainty AA Mishra, J Mukhopadhaya, J Alonso, G Iaccarino Physics of Fluids 32 (8), 2020 | 40 | 2020 |
Estimating RANS model uncertainty using machine learning JF Heyse, AA Mishra, G Iaccarino Journal of the Global Power and Propulsion Society, 1-14, 2021 | 39 | 2021 |
Optimization under turbulence model uncertainty for aerospace design LW Cook, AA Mishra, JP Jarrett, KE Willcox, G Iaccarino Physics of Fluids 31 (10), 2019 | 36 | 2019 |
Eigenvector perturbation methodology for uncertainty quantification of turbulence models RL Thompson, AA Mishra, G Iaccarino, W Edeling, L Sampaio Physical Review Fluids 4 (4), 044603, 2019 | 32 | 2019 |
Theoretical analysis of tensor perturbations for uncertainty quantification of Reynolds averaged and subgrid scale closures AA Mishra, G Iaccarino Physics of Fluids 31 (7), 2019 | 28 | 2019 |
Estimating uncertainty in homogeneous turbulence evolution due to coarse-graining AA Mishra, K Duraisamy, G Iaccarino Physics of Fluids 31 (2), 2019 | 26 | 2019 |
Hydrodynamic stability of three-dimensional homogeneous flow topologies AA Mishra, SS Girimaji Physical Review E 92 (5), 053001, 2015 | 26 | 2015 |
Linear analysis of non-local physics in homogeneous turbulent flows AA Mishra, S Girimaji Physics of Fluids 31 (3), 035102, 2019 | 24 | 2019 |
Scalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications JJ Alonso, R Fenrich, V Menier, G Iaccarino, AA Mishra, MS Eldred, ... 19th AIAA Non-Deterministic Approaches Conference, 2017 | 24 | 2017 |
RANS predictions for high-speed flows using enveloping models AA Mishra, G Iaccarino Annual Research Briefs, Center for Turbulence Research, 2016 | 24 | 2016 |
Uncertainty quantification for deep learning in particle accelerator applications AA Mishra, A Edelen, A Hanuka, C Mayes Physical Review Accelerators and Beams 24 (11), 114601, 2021 | 22 | 2021 |