MONTOMOLI, Francesco
MONTOMOLI, Francesco
A distributionally robust data-driven framework to reliability analysis
2024-01-01 Hammond, James; Crespo, Luis G.; Montomoli, Francesco
A Quasi-Direct Numerical Simulation of a Compressor Blade with Separation Bubbles and Inflow Turbulence
2025-01-01 Vivarelli, Guglielmo; Anderson Isler, João; D Cantwell, Chris; Montomoli, Francesco; J Sherwin, Spencer; Frey-Marioni, Yuri; Meyer, Marcus; Naqavi, Iftekhar; Vazquez-Diaz, Raul
Application of graph neural networks to predict explosion-induced transient flow
2024-01-01 Covoni, G.; Montomoli, F.; Tagarielli, V. L.; Bisio, V.; Rossin, S.; Ruggiero, M.
Characteristics of Deterministic and Stochastic Unsteadiness of Trailing Edge Cutback Film Cooling Flows
2025-01-01 He, Xiao; Montomoli, Francesco; Michelassi, Vittorio; Panizza, Andrea; Pulga, Leonardo
Deflagration inside an elastic spherical shell: Fluid-structure interaction effects
2024-01-01 Bisio, V.; Montomoli, F.; Rossin, S.; Tagarielli, V. L.
DEVELOPMENT OF MACHINE-LEARNT TURBULENCE CLOSURES FOR WAKE MIXING PREDICTIONS IN LOW-PRESSURE TURBINES
2024-01-01 Frey Marioni, Yuri; Adami, Paolo; Vazquez Diaz, Raul; Cassinelli, Andrea; Sherwin, Spencer J.; Montomoli, Francesco
Error Quantification for the Assessment of Data-Driven Turbulence Models
2022-01-01 Hammond, J.; Frey Marioni, Y.; Montomoli, F.
High-Dimensional Uncertainty Quantification of High-Pressure Turbine Vane Based on Multifidelity Deep Neural Networks
2023-01-01 Li, Z.; Montomoli, F.; Casari, N.; Pinelli, M.
Identification of missing input distributions with an inverse multi-modal Polynomial Chaos approach based on scarce data
2021-01-01 Pepper, N.; Montomoli, F.; Sharma, S.
Investigation of Compressor Cascade Flow Using Physics-Informed Neural Networks with Adaptive Learning Strategy
2024-01-01 Li, Z.; Montomoli, F.; Sharma, S.
Machine Learning Methods in CFD for Turbomachinery: A Review
2022-01-01 Hammond, J.; Pepper, N.; Montomoli, F.; Michelassi, V.
On the pressure wave emanating from a deflagration flame front
2024-01-01 Bisio, V; Montomoli, F; Rossin, S; Tagarielli, V L
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
2025-01-01 Sarosi, Robert; Montomoli, Francesco; Li, Zhihui; Agarwal, Ramesh K.
PHYSICS GUIDED GRAPH NEURAL NETWORKS (PG-GNNS): NUMERICAL INVESTIGATION OF HIGH-PRESSURE TURBINE FLOW
2025-01-01 Li, Zhihui; Montomoli, Francesco
Robust data-driven turbulence closures for improved heat transfer prediction in complex geometries
2022-01-01 Hammond, J.; Pietropaoli, M.; Montomoli, F.
SeAr PC: Sensitivity enhanced arbitrary Polynomial Chaos
2024-01-01 Pepper, Nick; Montomoli, Francesco; Kantarakias, Kyriakos
Source Term-Based Synthetic Turbulence Generator Applied to Compressible DNS of the T106A Low-Pressure Turbine
2025-01-01 Isler, João; Vivarelli, Guglielmo; Cantwell, Chris; Montomoli, Francesco; Sherwin, Spencer; Frey, Yuri; Meyer, Marcus; Vazquez, Raul