| 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 | 144 | 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 | 61 | 2017 |
| 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 | 48 | 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 | 47 | 2016 |
| Ensemble-variational assimilation of statistical data in large-eddy simulation V Mons, Y Du, TA Zaki Physical Review Fluids 6 (10), 104607, 2021 | 44 | 2021 |
| 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 | 37 | 2019 |
| 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 | 36 | 2014 |
| 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 | 29 | 2024 |
| Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation V Mons, O Marquet Journal of Fluid Mechanics 923, A1, 2021 | 28 | 2021 |
| 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 | 24 | 2022 |
| 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 | 21 | 2023 |
| Decay and growth laws in homogeneous shear turbulence A Briard, T Gomez, V Mons, P Sagaut Journal of Turbulence 17 (7), 699-726, 2016 | 21 | 2016 |
| 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 | 21 | 2014 |
| 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 |
| 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 | 10 | 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 | 8 | 2018 |
| Data assimilation and linear analysis with turbulence modelling: application to airfoil stall flows with PIV measurements V Mons, A Vervynck, O Marquet Theoretical and Computational Fluid Dynamics 38 (3), 403-429, 2024 | 5 | 2024 |
| 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 | 4 | 2022 |
| Turbulent mean flow estimation with state observer assimilation of velocity measurements in RANS models O Marquet, V Mons, M Zauner, B Leclaire TSFP 12, 2022 | 2 | 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 | 1 | 2024 |
Prof. Pierre SagautM2P2 Laboratory - Aix-Marseille UniversitéZweryfikowany adres z univ-amu.fr
