Mixed acoustic–entropy combustion instabilities in gas turbines E Motheau, F Nicoud, T Poinsot Journal of Fluid Mechanics 749, 542-576, 2014 | 147 | 2014 |
Accounting for convective effects in zero-Mach-number thermoacoustic models E Motheau, L Selle, F Nicoud Journal of sound and vibration 333 (1), 246-262, 2014 | 54 | 2014 |
A high-order numerical algorithm for DNS of low-Mach-number reactive flows with detailed chemistry and quasi-spectral accuracy E Motheau, J Abraham Journal of Computational Physics 313, 430-454, 2016 | 50 | 2016 |
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations J Pathak, M Mustafa, K Kashinath, E Motheau, T Kurth, M Day https://arxiv.org/abs/2010.00072, 2020 | 49 | 2020 |
Analysis and modeling of entropy modes in a realistic aeronautical gas turbine E Motheau, Y Mery, F Nicoud, T Poinsot Journal of Engineering for Gas Turbines and Power 135 (9), 092602, 2013 | 36 | 2013 |
Navier–Stokes Characteristic Boundary Conditions Using Ghost Cells E Motheau, A Almgren, JB Bell AIAA Journal 55 (10), 3399-3408, 2017 | 32 | 2017 |
Effects of equivalence ratio variations on turbulent flame speed in lean methane/air mixtures under lean-burn natural gas engine operating conditions Z Wang, E Motheau, J Abraham Proceedings of the Combustion Institute, 2016 | 22 | 2016 |
A Fourth-Order Adaptive Mesh Refinement Algorithm for the Multicomponent, Reacting Compressible Navier-Stokes Equations M Emmett, E Motheau, W Zhang, M Minion, JB Bell Combustion Theory and Modelling, 2019 | 21 | 2019 |
Investigation of finite-volume methods to capture shocks and turbulence spectra in compressible flows E Motheau, J Wakefield Communications in Applied Mathematics and Computational Science 15 (1), 1-36, 2020 | 20 | 2020 |
Using Boundary Conditions to Account For Mean Flow Effects In A Zero Mach Number Acoustic Solver E Motheau, F Nicoud, T Poinsot J. Eng. Gas Turbines Power -- November 2012 -- Volume 134, Issue 11 …, 2012 | 19 | 2012 |
LES investigation of the flow through an effusion-cooled aeronautical combustor model E Motheau, T Lederlin, JL Florenciano, P Bruel Flow, turbulence and combustion 88, 169-189, 2012 | 17 | 2012 |
PeleLMeX: An AMR low Mach number reactive flow simulation code without level sub-cycling L Esclapez, M Day, J Bell, A Felden, C Gilet, R Grout, MH de Frahan, ... Journal of Open Source Software 8 (NREL/JA-2C00-85410), 2023 | 9 | 2023 |
A mixed acoustic-entropy combustion instability in a realistic gas turbine E Motheau, L Selle, Y Mery, T Poinsot, F Nicoud Proceedings of the 2012 Summer Program, 449-458, 2012 | 8 | 2012 |
Accounting for mean flow effects in a zero-Mach number thermo-acoustic solver: Application to entropy induced combustion instabilities E Motheau CERFACS - Institut National Polytechnique Toulouse, 2014 | 6 | 2014 |
Using machine learning to augment coarse-grid computational fluid dynamics simulations, 2020 J Pathak, M Mustafa, K Kashinath, E Motheau, T Kurth, M Day URL https://arxiv. org/abs/2010.00072 2, 2010 | 5 | 2010 |
A hybrid adaptive low-Mach-number/compressible method: Euler equations E Motheau, M Duarte, A Almgren, JB Bell Journal of Computational Physics 372, 1027-1047, 2018 | 4 | 2018 |
A Hybrid Adaptive Low-Mach-Number/Compressible Method for the Euler Equations E Motheau, M Duarte, AS Almgren, JB Bell 23rd AIAA/CEAS Aeroacoustics Conference, 3179, 2017 | 4 | 2017 |
On the numerical accuracy in finite‐volume methods to accurately capture turbulence in compressible flows E Motheau, J Wakefield International Journal for Numerical Methods in Fluids 93 (10), 3020-3033, 2021 | 2 | 2021 |
Ml-pde: A framework for a machine learning enhanced pde solver J Pathak, M Mustafa, K Kashinath, E Motheau, T Kurth, M Day APS March Meeting Abstracts 2021, J25. 002, 2021 | 2 | 2021 |
Using Machine Learning to Reconstruct Small Scale Physics and Correct an Under-Resolved Numerical Solver for Fluid Flows. J Pathak, M Mustafa, K Kashinath, E Motheau, T Kurth, M Day AGU Fall Meeting 2021, 2021 | | 2021 |