Falfari, Stefania; Bianchi, Gian Marco, Concerns on Full Electric Mobility and Future Electricity Demand in Italy, «ENERGIES», 2023, 16, Article number: 1704, pp. 1 - 27 [articolo]Open Access
Falfari S.; Cazzoli G.; Mariani V.; Bianchi G.M., Hydrogen Application as a Fuel in Internal Combustion Engines, «ENERGIES», 2023, 16, pp. 2545 - 2557 [articolo]
De Renzis E.; Mariani V.; Bianchi G.M.; Falfari S.; Cazzoli G., Application of a one-dimensional fuel-oil dilution model coupled with an empirical droplet-to-film formation strategy for predicting in-cylinder oil effects in a direct injection engine, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012063, pp. 1 - 11 [articolo]Open Access
Leonardo Pulga; Diego Lacrimini; Claudio Forte; Valerio Mariani; Stefania Falfari; Gian Marco Bianchi, Comparison between Conventional and Non-Conventional Computer Methods to Define Antiknock Properties of Fuel Mixtures, «FUELS», 2022, 3, pp. 217 - 231 [articolo]Open Access
Silvagni G.; Ravaglioli V.; Falfari S.; Ponti F.; Mariani V., Development of a Control-Oriented Ignition Delay Model for GCI Combustion, «ENERGIES», 2022, 15, Article number: 6470, pp. 1 - 29 [articolo]Open Access
Mariani, Valerio; La Civita, Giorgio; Pulga, Leonardo; Ugolini, Edoardo; Ghedini, Emanuele; Falfari, Stefania; Cazzoli, Giulio; Bianchi, Gian Marco; Forte, Claudio, Numerical Evaluation of the Effect of Fuel Blending with CO2 and H2 on the Very Early Corona-Discharge Behavior in Spark Ignited Engines, «ENERGIES», 2022, 15, Article number: 1426, pp. 1 - 19 [articolo]Open Access
Viscione D.; Bianchi G.M.; Ravaglioli V.; Falfari S.; Cazzoli G.; Silvagni G.; Mariani V.; Corsi M., 1D-3D coupled approach for the evaluation of the in-cylinder conditions for Gasoline Compression Ignition Combustion, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2385, Article number: 012067, pp. 1 - 14 [articolo]Open Access
De Renzis E. , Mariani V. , Bianchi G. M. , Cazzoli G. , Falfari S. , Antetomaso C. , Irimescu A., Implementation of a multi-zone numerical blow-by model and its integration with cfd simulations for estimating collateral mass and heat fluxes in optical engines, «ENERGIES», 2021, 14, Article number: 8566, pp. 1 - 21 [articolo]Open Access
Mariani V.; Pulga L.; Bianchi G.M.; Falfari S.; Forte C., Machine learning-based identification strategy of fuel surrogates for the CFD simulation of stratified operations in low temperature combustion modes, «ENERGIES», 2021, 14, Article number: 4623, pp. 1 - 22 [articolo]Open Access
Falfari S.; Cazzoli G.; Ricci M.; Forte C., PWI and DWI Systems in Modern GDI Engines: Optimization and Comparison Part I: Non-Reacting Flow Analysis, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 20 (atti di: SAE 2021 WCX Digital Summit, usa, 2021) [Contributo in Atti di convegno]
Falfari S.; Bianchi G.M.; Pulga L.; Forte C., PWI and DWI Systems in Modern GDI Engines: Optimization and Comparison Part II: Reacting Flow Analysis, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 14 (atti di: SAE 2021 WCX Digital Summit, usa, 2021) [Contributo in Atti di convegno]
Falfari S.; Bianchi G.M.; Cazzoli G.; Forte C., Thermal Efficiency Enhancement for Future Rightsized Boosted GDI Engines - Effectiveness of the Operation Point Strategies Depending on the Engine Type, in: SAE Technical Papers, SAE International, 2021, 1, pp. 1 - 21 (atti di: SAE 15th International Conference on Engines and Vehicles, ICE 2021, ita, 2021) [Contributo in Atti di convegno]
Pulga L.; Bianchi Gian Marco; Falfari S.; Forte C., A machine learning methodology for improving the accuracy of laminar flame simulations with reduced chemical kinetics mechanisms, «COMBUSTION AND FLAME», 2020, 216, pp. 72 - 81 [articolo]
Mariani V.; Bianchi G.M.; Cazzoli G.; Falfari S., A one-dimensional model for the motor oil-fuel dilution under gasoline engine boundary conditions, «E3S WEB OF CONFERENCES», 2020, 197, Article number: 06004, pp. 1 - 15 [articolo]Open Access
Pulga L.; Falfari S.; Bianchi G.M.; Ricci M.; Forte C., Advanced combustion modelling of high bmep engines under water injection conditions with chemical correlations generated with detailed kinetics and machine learning algorithms, «SAE INTERNATIONAL JOURNAL OF ADVANCES AND CURRENT PRACTICES IN MOBILITY», 2020, 1, Article number: 2020-01-2008, pp. 77 - 94 [articolo]
