Fanizza, B., Volpiani, P. S., Renac, F., Martin, E., & Sipp, D. (2025). Adjoint-based optimization for non-linear inverse problems with high-order discretization of the compressible RANS equations. Applied Mathematical Modelling, 115984. (click here)
Volpiani, P. S. (2024). A Comprehensive Study About Implicit/Explicit Large-Eddy Simulations with Implicit/Explicit Filtering. Flow, Turbulence and Combustion, 1-32. (click here)
Volpiani, P. S. (2024). Are random forests better suited than neural networks to augment RANS turbulence models?. International Journal of Heat and Fluid Flow, 107, 109348. (click here)
Volpiani, P. S., Chapelier, J. B., Schwöppe, A., Jägersküpper, J., & Champagneux, S. (2024). Aircraft Simulations Using the New CFD Software from ONERA, DLR, and Airbus. Journal of Aircraft, 1-13. (click here)
Cato, A. S., Volpiani, P. S., Mons, V., Marquet, O., & Sipp, D. (2023). Comparison of different data-assimilation approaches to augment RANS turbulence models. Computers & Fluids, 106054. (click here)
Volpiani, P. S., Bernardini, R. F., & Franceschini, L. (2022). Neural network-based eddy-viscosity correction for RANS simulations of flows over bi-dimensional bumps. International Journal of Heat and Fluid Flow, 97, 109034. (click here)
Volpiani, P. S. (2021). Numerical strategy to perform direct numerical simulations of hypersonic shock/boundary-layer interaction in chemical nonequilibrium. Shock Waves, 31, 361–378. (click here)
Volpiani, P.S., Meyer, M., Franceschini, L., Dandois, J., Renac, F., Martin, E., Marquet, O., & Sipp, D. (2021). Machine learning-augmented turbulence modelling for RANS simulations of massively separated flows. Physical Review Fluids, 6(6), 064607. (click here)
Gopal, A., Volpiani, P. S., Yellapantula, S., & Larsson, J. (2021). Computational investigation of real fluid effects in cryogenic laminar premixed CH4–O2 flames. The Journal of Supercritical Fluids, 168, 105045. (click here)
Volpiani, P. S., Iyer, P. S., Pirozzoli, S., & Larsson, J. (2020). Data-driven compressibility transformation for turbulent wall layers. Physical Review Fluids, 5(5), 052602. (click here)
Volpiani, P. S., Bernardini, M., & Larsson, J. (2020). Effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions. Physical Review Fluids, 5(1), 014602. (click here)
Volpiani, P. S., Bernardini, M., & Larsson, J. (2018). Effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions. Physical Review Fluids, 3(8), 083401. (click here)
Volpiani, P. S., Schmitt, T., Vermorel, O., Quillatre, P., & Veynante, D. (2017). Large eddy simulation of explosion deflagrating flames using a dynamic wrinkling formulation. Combustion and Flame, 186, 17-31. (click here)
Volpiani, P. S., Schmitt, T., & Veynante, D. (2017). Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation. Combustion and Flame, 180, 124-135. (click here)
Volpiani, P. S., Schmitt, T., & Veynante, D. (2016). A posteriori tests of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion. Combustion and Flame, 174, 166-178. (click here)
Aubard, G., Volpiani, P. S., Gloerfelt, X., & Robinet, J. C. (2013). Comparison of subgrid-scale viscosity models and selective filtering strategy for large-eddy simulations. Flow, turbulence and combustion, 91(3), 497-518. (click here)
Boueilh J. C., Harambat F., Vergne S., & Volpiani P. S. Véhicule automobile ayant des roues présentant une configuration aérodynamique mixte. Reference FR2989024. (click here)
Boueilh J. C., Volpiani P. S., Harambat F., & Pujals G., Véhicule automobile comprenant des passages de roues ayant une configuration anti-traînée. Reference FR2990402. (click here)
Volpiani, P. S. (2024). Improving RANS turbulence models using random forests and neural networks. In International Conference on Computational Fluid Dynamics-ICCDF12, Kobe, Japan. (Young CFD Investigator Award) 🏆
Volpiani, P. S. (2023). Comparing random forests and neural networks to augment RANS turbulence models. In ETMM14: 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, Barcelona, Spain.
Fanizza, B., Volpiani, P. S., Renac, F., & Sipp, D. (2023). Improving RANS modeling with data-assimilation for compressible flows. In ETMM14: 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, Barcelona, Spain.
Volpiani, P. S., Chapelier, J. B., Schwöppe, A., Jägersküpper, J., & Champagneux, S. (2023). Simulating the Common Research Model using the new CFD software from ONERA, DLR and Airbus. In AIAA AVIATION 2023 Forum (p. 3275).
Gopal, A., Volpiani, P. S., Yellapantula S.,& Larsson, J. (2019). Numerical investigation of real gas effects in premixed CH4 − O2 flames at cryogenic conditions, In 11th US National Combustion Meeting, Pasadena, USA.
Volpiani, P. S., Wagner, A., Bernardini, M., & Larsson, J. (2019). Using large-eddy simulations to design a new hypersonic shock/boundary-layer interaction experiment, In AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, (AIAA 2019-0098), San Diego, USA.
Volpiani, P. S., Bernardini, M., & Larsson, J. (2018). Investigating the effects of non-adiabatic walls on shock/boundary-layer interaction at low Reynolds number using direct numerical simulations, In AIAA Aerospace Sciences Meeting, AIAA SciTech Forum, (AIAA 2018-1806), Kissimmee, USA.
Volpiani, P. S., Schmitt, T., & Veynante, D. (2016). Analysis of a dynamic wrinkling model for large eddy simulations of a turbulent premixed jet flame. In ETMM11: 11th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, Palermo, Italy.
Volpiani, P. S., Schmitt, T., & Veynante, D. (2016). Large eddy simulation of a turbulent swirling flame using the TFLES model coupled with a dynamic wrinkling formulation. In ETMM11: 11th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, Palermo, Italy.
Aubard, G., Volpiani, P. S., Gloerfelt, X., & Robinet, J. C. (2012). Comparison of Subgrid Scale Viscosity Models and Selective Filtering Strategy. In ETMM9: 9th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements, Thessaloniki, Greece.
Fanizza, B., Volpiani, P. S., Renac, F., & Sipp, D. (2024). Robust Features Design For Machine-Learning Augmented Turbulence Closure Models. In 1st Workshop on Machine Learning for Fluid Dynamics, Paris, France.
Fanizza, B., Volpiani, P. S., Renac, F., & Sipp, D. (2024). Field-inversion analyses for machine-learning applications of compressible RANS computations in a discontinuous Galerkin framework. In 9th European Congress on Computational Methods in Applied Sciences and Engineering, Lisboa, Portugal.
Volpiani, P. S., Bernardini, R. F., & Franceschini, L. (2022). Improvement of RANS models by machine learning for a bump configuration, In 2022 Symposium on Turbulence Modeling: Roadblocks, and the Potential for Machine Learning, Suffolk, USA.
Volpiani, P.S., Meyer, M., Franceschini, L., Dandois, J., Renac, F., Martin, E., Marquet, O., & Sipp, D. (2021). Machine learning-augmented turbulence modelling for RANS simulations of flows over periodic hills, In Symposium on Model-Consistent Data-driven Turbulence Modeling, Michigan, USA.
Volpiani, P.S., Meyer, M., Franceschini, L., Dandois, J., Renac, F., Martin, E., Marquet, O., & Sipp, D. (2021). Machine learning-augmented turbulence modelling for RANS simulations of flows over periodic hills, In Euromech colloquium on Machine learning methods for prediction and control of separated turbulent flows, Paris, France.
Iyer, P. S., Volpiani, P. S., Larsson, J., Pirozzoli, S., & Malik, M. R. (2019). A near-wall eddy viscosity for compressible turbulent flows based on velocity transformation with application to wall models. Bulletin of the American Physical Society.
Volpiani, P. S., Bernardini, M., & Larsson, J. (2017). Effects of non-adiabatic walls on shock/boundary-layer interaction using direct numerical simulations. Bulletin of the American Physical Society, Denver, USA.
Volpiani, P. S., Schmitt, T., Vermorel, O., & Veynante, D. (2017). Large eddy simulations of explosion deflagrating flames using a dynamic wrinkling formulation. In 16th International Conference on Numerical Combustion, Orlando, USA.
Volpiani, P. S., Schmitt, T., & Veynante, D. (2017). Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation. In 16th International Conference on Numerical Combustion, Orlando, USA.
Volpiani P. S., Schmitt T., & Veynante D. (2016). Modèle de plissement dynamique pour la simulation aux grandes échelles de la combustion turbulente prémélangée. In Meeting Annuel du Centre de Recherche sur la Combustion Turbulente, Rueil-Malmaison, France.
Volpiani P. S., Schmitt T., & Veynante D. (2015). Analysis of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion. In 15th International Conference on Numerical Combustion, Avignon, France.