| Titolo |
Pubblicato in |
Anno |
| Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor |
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY |
2023 |
| Uncertainty quantification analysis of Reynolds-averaged Navier–Stokes simulation of spray swirling jets undergoing vortex breakdown |
INTERNATIONAL JOURNAL OF SPRAY AND COMBUSTION DYNAMICS |
2023 |
| A Stokes number-based improvement for stochastic dispersion model for large eddy simulation |
ATOMIZATION AND SPRAYS |
2023 |
| An adaptive time-integration scheme for stiff chemistry based on computational singular perturbation and artificial neural networks |
JOURNAL OF COMPUTATIONAL PHYSICS |
2022 |
| A Family of Skeletal Mechanisms for Methane
Oxidation at High Pressure |
44th Meeting of the Italian Section of the Combustion Institute |
2022 |
| The spectral characterisation of reduced order models in chemical kinetic systems |
COMBUSTION THEORY AND MODELLING |
2022 |
| PyCSP: A Python package for the analysis and simplification of chemically reacting systems based on Computational Singular Perturbation |
COMPUTER PHYSICS COMMUNICATIONS |
2022 |
| The partially stirred reactor model for combustion closure in large eddy simulations: physical principles, sub-models for the cell reacting fraction, and open challenges |
PHYSICS OF FLUIDS |
2022 |
| Impact of scalar mixing uncertainty on the predictions of reactor-based closures: Application to a lifted methane/air jet flame |
PROCEEDINGS OF THE COMBUSTION INSTITUTE |
2022 |
| Hybrid-electric propulsive systems sizing and performance evaluation tool for aircraft and UAV |
Proceedings of the 9th IEEE International Workshop on Metrology for Aerospace |
2022 |
| Large eddy simulation of multi-regime burner: a reaction mechanism sensitivity analysis |
AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 |
2022 |
| Large eddy simulation with flamelet progress variable approach via neural network acceleration |
AIAA Scitech 2021 Forum |
2021 |
| Local combustion regime identification using machine learning |
COMBUSTION THEORY AND MODELLING |
2021 |
| Uncertainty quantification in RANS prediction of LOX cross-flow injection in methane |
AIAA Propulsion and Energy Forum, 2021 |
2021 |
| Uncertainty quantification in RANS of LOX-CH4 pintle injector |
43rd Meeting of the Italian Section of the Combustion Institute |
2021 |
| Uncertainty quantification in RANS of LOX-CH4 pintle injector |
13th Asia-Pacific Conference on Combustion 2021 |
2021 |
| uncertainty quantification analysis of RANS of spray swirling jets |
18th International Conference on Flow Dynamics (ICFD2021) |
2021 |
| Multi-stage heat release in lean combustion: Insights from coupled tangential stretching rate (TSR) and computational singular perturbation (CSP) analysis |
COMBUSTION AND FLAME |
2020 |
| Computational singular perturbation method and tangential stretching rate analysis of large scale simulations of reactive flows: feature tracking, time scale characterization, and cause/effect identification. Part 1, basic concepts |
Data analysis for direct numerical simulations of turbulent combustion: From equation-based analysis to machine learning |
2020 |
| Computational singular perturbation method and tangential stretching rate analysis of large scale simulations of reactive flows: feature tracking, time scale characterization, and cause/effect identification. Part 2, analyses of ignition systems, laminar and turbulent flames |
Data analysis for direct numerical simulations of turbulent combustion. From equation-based analysis to machine learning |
2020 |
