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Antoine Vollant |
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Doctorant | |
| Téléphone :+33497182548 otherwise | 04.76 strange 2054 number. Other : 3.82.52.43 |
| Courriel : | Antoine.Vollant or 74070715 no-reply(A)gmail.com and legi.grenoble-inp.fr |
| Bureau :Piole207. Manager : 37 | A115 |
| Équipe : | MOST |
Publications
2017
Vollant, A., Balarac, G., & Corre, C. E. (2017). Subgrid-scale scalar flux modelling based on optimal estimation theory and machine-learning procedures. Journal of Turbulence, 18(9), 854–878.
2016
Vollant, A., Balarac, G., & Corre, C. E. (2016). A dynamic regularized gradient model of the subgrid-scale stress tensor for large-eddy simulation. Physics of Fluids, 28(2), 025114.
2015
Vollant, A. (2015). Evaluation et développement de modèles sous-maille pour la simulation des grandes échelles du mélange turbulent basés sur l’estimation optimale et l’apprentissage supervisé. Ph.D. thesis, Université Grenoble Alpes, .
2014
Vollant, A., Balarac, G., & Corre, C. E. (2014). Optimal subgrid scale model for passive scalar based on artificial neural network. In 10th European Fluid Mechanics Conference.. Copenhagen, Denmark.
Vollant, A., Balarac, G., Geraci, G., & Corre, C. E. (2014). Optimal estimator and artificial neural network as efficient tools for the subgrid-scale scalar flux modeling. In Proceedings of the Summer Program. Stanford, United States.
2013
Balarac, G., Le Sommer, J., Meunier, X., & Vollant, A. (2013). A dynamic regularized gradient model of the subgrid-scale scalar flux for large eddy simulations. Physics of Fluids, , 075107.
2012
Balarac, G., Le Sommer, J., & Vollant, A. (2012). Subgrid-scale modeling of SGS scalar flux: a regularization of the gradient model. In Proceedings of the Summer Program 2012 (pp. 97–107). Stanford, United States.
Vollant, A., Balarac, G., & Corre, C. E. (2012). Passive scalar LES using an optimal estimator as SGS model. In 9th European Fluid Mechanics Conference. Rome, Italy.