Aashwin Ananda Mishra

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Gianluca IaccarinoStanford UniversityE-mailová adresa ověřena na: stanford.edu
Sharath S. GirimajiProfessor and Head, Ocean Engineering Department, Texas A&M UniversityE-mailová adresa ověřena na: tamu.edu
Matthias IhmeStanford UniversityE-mailová adresa ověřena na: stanford.edu
Wai Tong ChungTogether AIE-mailová adresa ověřena na: together.ai
Juan J. AlonsoAeronautics & Astronautics, Stanford UniversityE-mailová adresa ověřena na: stanford.edu
Auralee L. EdelenSLAC National Accelerator Laboratory / StanfordE-mailová adresa ověřena na: slac.stanford.edu
Karthik DuraisamyUniversity of MichiganE-mailová adresa ověřena na: umich.edu
Jayant MukhopadhayaSenior Researcher, International Council on Clean TransportationE-mailová adresa ověřena na: theicct.org
Nikolaos PerakisTechnische Universität München, Stanford UniversityE-mailová adresa ověřena na: stanford.edu
Wouter EdelingCWI AmsterdamE-mailová adresa ověřena na: cwi.nl
Daniel RatnerSLAC National Accelerator LaboratoryE-mailová adresa ověřena na: slac.stanford.edu
Roney L. ThompsonProfessor de Engenharia Mecânica, Universidade Federal do Rio de JaneiroE-mailová adresa ověřena na: mecanica.coppe.ufrj.br
Karen WillcoxOden Institute for Computational Engineering and Sciences, UT AustinE-mailová adresa ověřena na: oden.utexas.edu
Laurence CookUniversity of CambridgeE-mailová adresa ověřena na: cam.ac.uk
Sanjeev SanghiRam Rajendra Malhotra Chair Professor, Department of Applied Mechanics, IIT DelhiE-mailová adresa ověřena na: am.iitd.ac.in
Junlin YuanMichigan State UniversityE-mailová adresa ověřena na: egr.msu.edu
Magnus VartdalFFIE-mailová adresa ověřena na: ffi.no
Oliver HoidnStanford Linear Accelerator LaboratoryE-mailová adresa ověřena na: stanford.edu
John JakemanPrincipal Member of Technical Staff, Sandia National LaboratoriesE-mailová adresa ověřena na: sandia.gov
Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford UniversityE-mailová adresa ověřena na: stanford.edu

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Aashwin Ananda Mishra

SLAC National Accelerator Laboratory

E-mailová adresa ověřena na: stanford.edu


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Combustion machine learning: Principles, progress and prospects M Ihme, WT Chung, AA Mishra Progress in Energy and Combustion Science 91, 101010, 2022	204	2022
Eigenspace perturbations for uncertainty estimation of single-point turbulence closures G Iaccarino, AA Mishra, S Ghili Physical Review Fluids 2 (2), 024605, 2017	119	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	89	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	71	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	62	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	62	2013
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	54	2021
On the realizability of pressure–strain closures AA Mishra, SS Girimaji Journal of fluid mechanics 755, 535-560, 2014	52	2014
Pressure–strain correlation modeling: towards achieving consistency with rapid distortion theory AA Mishra, SS Girimaji Flow, turbulence and combustion 85, 593-619, 2010	52	2010
Estimating RANS model uncertainty using machine learning JF Heyse, AA Mishra, G Iaccarino Journal of the Global Power and Propulsion Society, 1-14, 2021	47	2021
Design exploration and optimization under uncertainty AA Mishra, J Mukhopadhaya, J Alonso, G Iaccarino Physics of Fluids 32 (8), 2020	47	2020
Optimization under turbulence model uncertainty for aerospace design LW Cook, AA Mishra, JP Jarrett, KE Willcox, G Iaccarino Physics of Fluids 31 (10), 2019	44	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	35	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	33	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	30	2017
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	28	2021
Estimating uncertainty in homogeneous turbulence evolution due to coarse-graining AA Mishra, K Duraisamy, G Iaccarino Physics of Fluids 31 (2), 2019	28	2019
Hydrodynamic stability of three-dimensional homogeneous flow topologies AA Mishra, SS Girimaji Physical Review E 92 (5), 053001, 2015	27	2015
Interpretable data-driven methods for subgrid-scale closure in LES for transcritical LOX/GCH4 combustion WT Chung, AA Mishra, M Ihme Combustion and Flame 239, 111758, 2022	26	2022
RANS predictions for high-speed flows using enveloping models AA Mishra, G Iaccarino Annual Research Briefs, Center for Turbulence Research, 2016	26	2016

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