Gianluca Iaccarino

Stanford University — United States

Engineering · Physical Sciences

51h-index14.0kcitations520works3.52yr avg
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Research Topics

Fluid Dynamics and Turbulent Flows(178), Probabilistic and Robust Engineering Design(165), Wind and Air Flow Studies(108), Computational Fluid Dynamics and Aerodynamics(96), Fluid Dynamics and Vibration Analysis(60)

Publications519 total

Multi-fidelity Data Ensembles of Liquid Phase Rocket Ignition: Ignition Limit States and Reliability
2026
Digital enhancement of experimental pipelines
2026Open Access
Thermal expansion-driven laser ignition in a gas subscale rocket combustor
Combustion and Flame·2025· 1 cited
Learning aerodynamics for the control of flying humanoid robots
Communications Engineering·2025Open Access
Modeling of uncertainties from spanwise asymmetries in upstream conditions and measurement plane location for flow past a circular cylinder confined within a duct
Physical Review Fluids·2025· 1 cited
Surrogate models for multiregime flow problems
Physical Review Fluids·2025· 4 cited
A systematic dataset generation technique applied to data-driven automotive aerodynamics
APL Machine Learning·2025· 4 citedOpen Access
Bi-Fidelity Data Ensembles of a Rocket Ignition System With Stochastic Interpolative Decomposition
2025· 1 cited
Large-Eddy Simulations of a Laser-Ignited Subscale Rocket Combustor: Modeling Strategies and Experimental Comparison
2025· 2 cited
Effect of span size in Scale Resolving Simulations of airfoil stall and post-stall
arXiv (Cornell University)·2024· 1 citedOpen Access
Neural network-based closure models for large-eddy simulations with explicit filtering
arXiv (Cornell University)·2024Open Access
Computational Study of Laser-Induced Modes of Ignition in a Coflow Combustor
Flow Turbulence and Combustion·2024· 6 cited
A systematic dataset generation technique applied to data-driven automotive aerodynamics
arXiv (Cornell University)·2024Open Access
A physics-informed machine learning model for the prediction of drop breakup in two-phase flows
International Journal of Multiphase Flow·2024· 7 citedOpen Access
Laser-induced indirect ignition of non-premixed turbulent shear layers
Combustion and Flame·2024· 8 citedOpen Access
Uncertainty quantification in autoencoders predictions: Applications in aerodynamics
Journal of Computational Physics·2024· 20 citedOpen Access
Large-scale in-silico analysis of CSF dynamics within the subarachnoid space of the optic nerve
Fluids and Barriers of the CNS·2024· 10 citedOpen Access
Compositional Generative Inverse Design
arXiv (Cornell University)·2024· 1 citedOpen Access
Autoencoders with Sequential Training and Adaptive Resolution
SSRN Electronic Journal·2024· 1 citedOpen Access
Neural network--based closure models for large--eddy simulations with explicit filtering
2023· 1 cited
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Frequent Co-authors

Parviz Moin(6), Frank Ham(6), Paul A. Durbin(4), Alireza Doostan(4), Roberto Verzicco(3), Andrew Ooi(3), Masud Behnia(3), Bahram Khalighi(3), Eric S. G. Shaqfeh(3), Jan Nordström(3), Juan J. Alonso(3), Karthik Duraisamy(2), Pietro Catalano(2), Michael Emory(2), René Pecnik(2), Stéphane Moreau(2), Meng Wang(2), Michel Roger(2), Qiqi Wang(2), Aashwin Mishra(2)