Matteo Savarese
Matteo Savarese
UniversitÚ Libre de Bruxelles
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Cited by
Cited by
Machine learning clustering algorithms for the automatic generation of chemical reactor networks from CFD simulations
M Savarese, A Cuoci, W De Paepe, A Parente
Fuel 343, 127945, 2023
Decarbonisation potential of dimethyl ether/hydrogen mixtures in a flameless furnace: Reactive structures and pollutant emissions
S Sharma, M Savarese, A Coussement, A Parente
International Journal of Hydrogen Energy 48 (6), 2401-2427, 2023
Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor
M Savarese, L Giuntini, R Malpica Galassi, S Iavarone, W De Paepe, ...
International Journal of Hydrogen Energy, 2023
A new index for the comparative evaluation of combustion local low-dimensional manifolds
M Savarese, KS Jung, H Dave, JH Chen, A Parente
Combustion and Flame 265, 113434, 2024
Experimental and numerical investigation of methane combustion in a HCCI engine under enriched oxygen conditions
S Span˛, M Savarese, A Parente, F Contino, H Jeanmart
Fuel 362, 130772, 2024
Mixing time scale analysis of the Partially Stirred Reactor model for high-speed turbulent combustion of hydrogen in vitiated air
A Piscopo, S Iavarone, M Savarese, M Riis, B Crawford, D Bessette, ...
Acta Astronautica, 2024
Local estimation of the mixing model constant for transported PDF combustion models
L Giuntini, M Savarese, C Galletti, A Parente
Fuel 357, 130022, 2024
Towards Fast Prediction of Flame Stability and Emissions of mGT Combustion Chambers: a Chemical Reactor Network Approach
M Savarese, J Bompas, W De Paepe, A Parente
Turbo Expo: Power for Land, Sea, and Air 86052, V007T18A013, 2022
Hydrogen-Fueled Stationary Combustion Systems
A Parente, M Savarese, S Sharma
Hydrogen for Future Thermal Engines, 269-328, 2023
Partially Stirred Reactor sensitivity analysis in a scramjet combustor
A Piscopo, M Savarese, S Iavarone, M Riis, W De Paepe, A Parente
A joint Uncertainty Quantification and Chemical Reactor Network framework for the robust design of innovative ammonia combustion concepts
M Savarese, L Giuntini, R Malpica Galassi, S Iavarone, A Parente
Automatic extraction of Chemical Reactor Networks from CFD data via advanced clustering algorithms
M Savarese, A Cuoci, W De Paepe, A Parente
Proceedings of Global Power and Propulsion Society, 1-10, 2021
System Identification of a MILD Combustion Furnace oriented to Control System Design
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