| A machine learning methodology for improving the accuracy of laminar flame simulations with reduced chemical kinetics mechanisms L Pulga, GM Bianchi, S Falfari, C Forte Combustion and Flame 216, 72-81, 2020 | 45 | 2020 |
| A Bayesian neural network methodology to predict the liquid phase diffusion coefficient V Mariani, L Pulga, GM Bianchi, G Cazzoli International Journal of Heat and Mass Transfer 161, 120309, 2020 | 12 | 2020 |
| Machine Learning-Based Identification Strategy of Fuel Surrogates for the CFD Simulation of Stratified Operations in Low Temperature Combustion Modes V Mariani, L Pulga, GM Bianchi, S Falfari, C Forte Energies 14 (15), 4623, 2021 | 5 | 2021 |
| PWI and DWI systems in modern GDI engines: optimization and comparison Part I: non-reacting flow analysis S Falfari, G Cazzoli, M Ricci, C Forte SAE Technical Paper, 2021 | 5 | 2021 |
| Advanced combustion modelling of high bmep engines under water injection conditions with chemical correlations generated with detailed kinetics and machine learning algorithms L Pulga, S Falfari, GM Bianchi, M Ricci, C Forte SAE International Journal of Advances and Current Practices in Mobility 3 …, 2020 | 5 | 2020 |
| Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions L Pulga, GM Bianchi, M Ricci, G Cazzoli, C Forte SAE International Journal of Fuels and Lubricants 13 (1), 5-18, 2020 | 5 | 2020 |
| Numerical Evaluation of the Effect of Fuel Blending with CO2 and H2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines V Mariani, G La Civita, L Pulga, E Ugolini, E Ghedini, S Falfari, G Cazzoli, ... Energies 15 (4), 1426, 2022 | 4 | 2022 |
| Artificial intelligence strategies for the development of robust virtual sensors: an industrial case for transient particle emissions in a high-performance engine L Pulga, C Forte, A Siliato, E Giovannardi, R Tonelli, I Kitsopanidis, ... SAE International Journal of Engines 17 (03-17-02-0014), 2023 | 3 | 2023 |
| Neural network-based prediction of liquid-phase diffusion coefficient to model fuel-oil dilution on engine cylinder walls V Mariani, L Pulga, GM Bianchi, G Cazzoli, S Falfari SAE International Journal of Engines 13 (5), 649-664, 2020 | 3 | 2020 |
| Comparison between Conventional and Non-Conventional Computer Methods to Define Antiknock Properties of Fuel Mixtures L Pulga, D Lacrimini, C Forte, V Mariani, S Falfari, GM Bianchi Fuels 3 (2), 217-231, 2022 | 2 | 2022 |
| Numerical Aspects Affecting Heat Transfer in ICE Applications and Definition of a Temperature Wall Function Accounting for the Boundary Layer Compressibility M Ricci, L Pulga, GM Bianchi, S Falfari, C Forte SAE International Journal of Engines 12 (5), 525-542, 2019 | 2 | 2019 |
| Development of advanced methods for the simulation of the reacting mixture formation in internal combustion engines with the use of machine learning algorithms L Pulga alma, 2022 | | 2022 |
| Application of deep neural networks to the prediction of the ignition delay time of gasoline PRF and TRF surrogates with the addition of oxygenates for CFD engine simulations L Pulga, G Bianchi, G Cazzoli, V Mariani, C Forte Proceedings of THIESEL 2020 Thermo and fluid dynamic processes in direct …, 2020 | | 2020 |
