Reconstruction of unsteady viscous flows using data assimilation schemes V Mons, JC Chassaing, T Gomez, P Sagaut Journal of Computational Physics 316, 255-280, 2016 | 131 | 2016 |
Optimal sensor placement for variational data assimilation of unsteady flows past a rotationally oscillating cylinder V Mons, JC Chassaing, P Sagaut Journal of Fluid Mechanics 823, 230-277, 2017 | 54 | 2017 |
A spectral model for homogeneous shear-driven anisotropic turbulence in terms of spherically averaged descriptors V Mons, C Cambon, P Sagaut Journal of Fluid Mechanics 788, 147-182, 2016 | 45 | 2016 |
Data assimilation-based reconstruction of urban pollutant release characteristics V Mons, L Margheri, JC Chassaing, P Sagaut Journal of Wind Engineering and Industrial Aerodynamics 169, 232-250, 2017 | 44 | 2017 |
Is isotropic turbulence decay governed by asymptotic behavior of large scales? An eddy-damped quasi-normal Markovian-based data assimilation study V Mons, JC Chassaing, T Gomez, P Sagaut Physics of Fluids 26 (11), 2014 | 38 | 2014 |
Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments V Mons, Q Wang, TA Zaki Journal of Computational Physics 398, 108856, 2019 | 31 | 2019 |
Ensemble-variational assimilation of statistical data in large-eddy simulation V Mons, Y Du, TA Zaki Physical Review Fluids 6 (10), 104607, 2021 | 27 | 2021 |
Numerical investigation on the partial return to isotropy of freely decaying homogeneous axisymmetric turbulence V Mons, M Meldi, P Sagaut Physics of Fluids 26 (2), 2014 | 24 | 2014 |
Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation V Mons, O Marquet Journal of Fluid Mechanics 923, A1, 2021 | 22 | 2021 |
Decay and growth laws in homogeneous shear turbulence A Briard, T Gomez, V Mons, P Sagaut Journal of Turbulence 17 (7), 699-726, 2016 | 20 | 2016 |
Anisotropic triadic closures for shear-driven and buoyancy-driven turbulent flows C Cambon, V Mons, BJ Gréa, R Rubinstein Computers & Fluids 151, 73-84, 2017 | 17 | 2017 |
Nudging-based data assimilation of the turbulent flow around a square cylinder M Zauner, V Mons, O Marquet, B Leclaire Journal of Fluid Mechanics 937, A38, 2022 | 16 | 2022 |
Turbulence model augmented physics-informed neural networks for mean-flow reconstruction Y Patel, V Mons, O Marquet, G Rigas Physical Review Fluids 9 (3), 034605, 2024 | 8 | 2024 |
Dense velocity, pressure and Eulerian acceleration fields from single-instant scattered velocities through Navier–Stokes-based data assimilation V Mons, O Marquet, B Leclaire, P Cornic, F Champagnat Measurement Science and Technology 33 (12), 124004, 2022 | 7 | 2022 |
Advanced spectral anisotropic modelling for shear flows A Briard, BJ Gréa, V Mons, C Cambon, T Gomez, P Sagaut Journal of Turbulence 19 (7), 570-599, 2018 | 7 | 2018 |
Comparison of different data-assimilation approaches to augment RANS turbulence models AS Cato, PS Volpiani, V Mons, O Marquet, D Sipp Computers & Fluids 266, 106054, 2023 | 5 | 2023 |
Data assimilation for aerothermal mean flow reconstruction using aero-optical observations: a synthetic investigation MYB Ali, O Léon, D Donjat, H Bézard, E Laroche, V Mons, F Champagnat 56 th 3AF International Conference on Applied Aerodynamics, 2022 | 2 | 2022 |
Mean-flow reconstruction of unsteady flows via data assimilation: PINN vs variational methods. G Rigas, Y Patel, O Marquet, V Mons Bulletin of the American Physical Society 67, 2022 | 1 | 2022 |
A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers S Ghosh, V Mons, D Sipp, PJ Schmid Journal of Computational Physics 508, 113008, 2024 | | 2024 |
Reconstruction of flows past airfoils near stall based on scarce pressure data C Tayeh, V Mons, O Marquet ETMM 14, 2023 | | 2023 |