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Aashwin Ananda Mishra
Aashwin Ananda Mishra
SLAC National Accelerator Laboratory
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Combustion machine learning: Principles, progress and prospects
M Ihme, WT Chung, AA Mishra
Progress in Energy and Combustion Science 91, 101010, 2022
1272022
Eigenspace perturbations for uncertainty estimation of single-point turbulence closures
G Iaccarino, AA Mishra, S Ghili
Physical Review Fluids 2 (2), 024605, 2017
1072017
Uncertainty estimation module for turbulence model predictions in SU2
AA Mishra, J Mukhopadhaya, G Iaccarino, J Alonso
AIAA Journal 57 (3), 1066-1077, 2019
762019
Toward approximating non-local dynamics in single-point pressure–strain correlation closures
AA Mishra, SS Girimaji
Journal of Fluid Mechanics 811, 168-188, 2017
662017
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
562013
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
552017
Pressure–strain correlation modeling: towards achieving consistency with rapid distortion theory
AA Mishra, SS Girimaji
Flow, turbulence and combustion 85, 593-619, 2010
502010
On the realizability of pressure–strain closures
AA Mishra, SS Girimaji
Journal of fluid mechanics 755, 535-560, 2014
482014
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
412021
Estimating RANS model uncertainty using machine learning
JF Heyse, AA Mishra, G Iaccarino
Journal of the Global Power and Propulsion Society, 1-14, 2021
372021
Design exploration and optimization under uncertainty
AA Mishra, J Mukhopadhaya, J Alonso, G Iaccarino
Physics of Fluids 32 (8), 2020
372020
Optimization under turbulence model uncertainty for aerospace design
LW Cook, AA Mishra, JP Jarrett, KE Willcox, G Iaccarino
Physics of Fluids 31 (10), 2019
342019
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
312019
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
272019
Estimating uncertainty in homogeneous turbulence evolution due to coarse-graining
AA Mishra, K Duraisamy, G Iaccarino
Physics of Fluids 31 (2), 2019
252019
Hydrodynamic stability of three-dimensional homogeneous flow topologies
AA Mishra, SS Girimaji
Physical Review E 92 (5), 053001, 2015
252015
Linear analysis of non-local physics in homogeneous turbulent flows
AA Mishra, S Girimaji
Physics of Fluids 31 (3), 035102, 2019
232019
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
232017
RANS predictions for high-speed flows using enveloping models
AA Mishra, G Iaccarino
Annual Research Briefs, Center for Turbulence Research, 2016
232016
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
222021
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