
Niccolo Tonicello
Postdoctoral Scholar, Mechanical Engineering
Bio
Niccolò Tonicello graduated at University of Padova in 2015 in Aerospace Engineering and subsequently continued his studies on numerical methods for fluid dynamics pursuing a Master of Science in Mathematical Engineering at the same institution. He obtained his Ph.D. at the University of Rouen (France) with a thesis on High-order Spectral Element Methods for Compressible Turbulent Flows under the supervision of professors Luc Vervisch and Guido Lodato. After the conclusion of his Ph.D. in 2021, he obtained a short-term fellowship at Scuola Internazionale di Studi Superiori Avanzati in Trieste (Italy) focused on Reduced-Order Models for Compressible Flows in the group of professor Gianluigi Rozza. Finally, in January 2022 he started a post-doctoral fellowship at Stanford on high-order methods for multiphase flows with phase change in the group of professor Matthias Ihme.
He has published in a variety of international peer-reviewed scientific journals of computational fluid dynamics, including the Journal of Fluid Mechanics, Journal of Scientific Computing and Computer & Fluids.
All Publications
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Turbulence kinetic energy transfers in direct numerical simulation of shock-wave-turbulence interaction in a compression/expansion ramp
JOURNAL OF FLUID MECHANICS
2022; 935
View details for DOI 10.1017/jfm.2022.22
View details for Web of Science ID 000750193700001
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A Comparative Study from Spectral Analyses of High-Order Methods with Non-Constant Advection Velocities
JOURNAL OF SCIENTIFIC COMPUTING
2021; 87 (3)
View details for DOI 10.1007/s10915-021-01484-1
View details for Web of Science ID 000641730200001
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Analysis of High-order Explicit LES Dynamic Modeling Applied to Airfoil Flows
FLOW TURBULENCE AND COMBUSTION
2022; 108 (1): 77-104
View details for DOI 10.1007/s10494-021-00273-y
View details for Web of Science ID 000652951700001
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Large-Eddy Simulation of Bypass Transition on a Zero-Pressure-Gradient Flat Plate Using the Spectral-Element Dynamic Model
FLOW TURBULENCE AND COMBUSTION
2021; 107 (4): 845-874
View details for DOI 10.1007/s10494-021-00262-1
View details for Web of Science ID 000639767700001
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Entropy preserving low dissipative shock capturing with wave-characteristic based sensor for high-order methods
COMPUTERS & FLUIDS
2020; 197
View details for DOI 10.1016/j.compfluid.2019.104357
View details for Web of Science ID 000509619300005