Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G., A Bayesian neural network methodology to predict the liquid phase diffusion coefficient, «INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER», 2020, 161, Article number: 120309, pp. 1 - 8 [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
Leonardo Pulga, Gian Marco Bianchi, Giulio Cazzoli, Valerio Mariani, Claudio Forte, 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, in: Proceedings of THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, 2020, pp. 195 - 205 (atti di: THIESEL 2020 Thermo and fluid dynamic processes in direct injection engines, Online conference, 8-11 Settembre 2020) [Contributo in Atti di convegno]
Mariani V.; Pulga L.; Bianchi G.M.; Cazzoli G.; Falfari S., Neural network-based prediction of liquid-phase diffusion coefficient to model fuel-oil dilution on engine cylinder walls, «SAE INTERNATIONAL JOURNAL OF ENGINES», 2020, 13, Article number: 03-13-05-0041, pp. 649 - 664 [articolo]
Mariani Valerio, Bianchi, Cazzoli Giulio, Falfari Stefania, Fuel droplet-wall impingement under GDI-like conditions: A numerical investigation, in: 74TH ATI NATIONAL CONGRESS: Energy Conversion: Research, Innovation and Development for Industry and Territories, College Park, Maryland, American Institute of Physics Inc., «AIP CONFERENCE PROCEEDINGS», 2019, 2191, pp. 1 - 10 (atti di: 74TH ATI NATIONAL CONGRESS: Energy Conversion: Research, Innovation and Development for Industry and Territories, Modena, Italy, 11–13 September 2019) [Contributo in Atti di convegno]
