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Pedro Stefanin Volpiani

Observed names: P. S. Volpiani, P. Stefanin Volpiani, P.S. Volpiani, Pedro S. Volpiani, Stefanin Volpiani, Pedro, Volpiani, Pedro Stefanin
Observed institutions: Centre National de la Recherche Scientifique, Arts et Métiers, Université Paris-Saclay, Office National d'Études et de Recherches Aérospatiales, CentraleSupélec, Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion, Laboratoire de Dynamique des Fluides, University of Maryland, College Park
ORCID: 0000-0002-2930-3035
Observed ORCID: 0000-0002-2930-3035
OpenAlex ID: A5068303183
Data-driven compressibility transformation for turbulent wall layers
2020 · Pedro S. Volpiani, Prahladh S. Iyer, et al. · Physical Review Fluids · 102
Effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions
2018 · Pedro S. Volpiani, Matteo Bernardini, et al. · Physical Review Fluids · 97
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Effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions
2020 · Pedro S. Volpiani, Matteo Bernardini, et al. · Physical Review Fluids · 86
Machine learning-augmented turbulence modeling for RANS simulations of massively separated flows
2021 · Pedro Stefanin Volpiani, Morten Meyer, et al. · Physical Review Fluids · 79
Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation
2017 · Pedro S. Volpiani, Thomas Schmitt, et al. · Combustion and Flame · 66
Large eddy simulation of explosion deflagrating flames using a dynamic wrinkling formulation
2017 · Pedro S. Volpiani, Thomas Schmitt, et al. · Combustion and Flame · 50
Comparison of Subgrid-scale Viscosity Models and Selective Filtering Strategy for Large-eddy Simulations
2013 · G. Aubard, P. Stefanin Volpiani, et al. · Flow Turbulence and Combustion · 42
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A posteriori tests of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion
2016 · P.S. Volpiani, T. Schmitt, et al. · Combustion and Flame · 40
Comparison of different data-assimilation approaches to augment RANS turbulence models
2023 · Arthur Shiniti Cato, Pedro Stefanin Volpiani, et al. · Computers & Fluids · 37
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Aircraft Simulations Using the New CFD Software from ONERA, DLR, and Airbus
2024 · Pedro Stefanin Volpiani, Jean-Baptiste Chapelier, et al. · Journal of Aircraft · 28
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Numerical strategy to perform direct numerical simulations of hypersonic shock/boundary-layer interaction in chemical nonequilibrium
2021 · P. S. Volpiani · Shock Waves · 28
Neural network-based eddy-viscosity correction for RANS simulations of flows over bi-dimensional bumps
2022 · Pedro Stefanin Volpiani, Raphaella Fusita Bernardini, et al. · International Journal of Heat and Fluid Flow · 19
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Computational investigation of real fluid effects in cryogenic laminar premixed CH4–O2 flames
2020 · Abishek Gopal, Pedro S. Volpiani, et al. · The Journal of Supercritical Fluids · 16
Are random forests better suited than neural networks to augment RANS turbulence models?
2024 · Pedro Stefanin Volpiani · International Journal of Heat and Fluid Flow · 14
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Adjoint-based optimization for non-linear inverse problems with high-order discretization of the compressible RANS equations
2025 · Bartolomeo Fanizza, Pedro Stefanin Volpiani, et al. · Applied Mathematical Modelling · 9
A Comprehensive Study About Implicit/Explicit Large-Eddy Simulations with Implicit/Explicit Filtering
2024 · Pedro Stefanin Volpiani · Flow Turbulence and Combustion · 9
Investigating the effects of non-adiabatic walls on shock/boundary-layer interaction at low Reynolds number using direct numerical simulations
2018 · Pedro S. Volpiani, Matteo Bernardini, et al. · AIAA Aerospace Sciences Meeting · 5
Simulating the Common Research Model using the new CFD software from ONERA, DLR and Airbus
2023 · Pedro S. Volpiani, Jean-Baptiste Chapelier, et al. · AIAA AVIATION Forum · 4
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Enhancing physical consistency in stochastic optimization for adjoint-based inverse problems: Application to compressible RANS simulations in the discontinuous Galerkin framework
2025 · Bartolomeo Fanizza, Pedro Stefanin Volpiani, et al. · Applied Mathematical Modelling · 3
Using large-eddy simulations to design a new hypersonic shock/boundary-layer interaction experiment
2019 · Pedro S. Volpiani, Alexander Wagner, et al. · AIAA SciTech Forum · 3
Improving the Spalart-Allmaras turbulence model for separated flows using field inversion and symbolic regression
2026 · Paul Bataillie, Maxime Casanova, et al. · Physical Review Fluids · 1
Triadic energy cascades and linear amplification mechanisms in supersonic turbulent boundary layers over curved walls
2026 · de Souza, Lucas Feitosa, Lui, Hugo F. da Silva, et al. · arXiv (Cornell University)
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BASIC: a modular high-fidelity python-based solver for computational fluid dynamics - applications on Cartesian grids
2026 · Pedro Stefanin Volpiani · Journal of the Brazilian Society of Mechanical Sciences and Engineering
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Enhancing the Spalart–Allmaras Model for Transonic Airfoils Using Field Inversion/Machine Learning
2026 · Louis Carduner, Bartolomeo Fanizza, et al. · AIAA Journal
An adjoint-based Bayesian approach to address non-parametric uncertainties in Reynolds-Averaged Navier-Stokes modeling
2026 · Casanova, Maxime, Mons, Vincent, et al. · HAL
Works count: 41
Citation count: 738
H-index: 14
I10-index: 14
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