| Turbulent mixing predictive model with physics-based Generative Adversarial Network L Nista, C Schumann, T Grenga, AN Karimi, G Scialabba, M Bode, A Attili, ... 10th European combustion meeting, 460-465, 2021 | 6 | 2021 |
| Predictive data-driven model based on generative adversarial network for premixed turbulence-combustion regimes T Grenga, L Nista, C Schumann, AN Karimi, G Scialabba, A Attili, H Pitsch Combustion Science and Technology, 1-24, 2022 | 4 | 2022 |
| The influence of adversarial training on turbulence closure modeling L Nista, CKD Schumann, G Scialabba, T Grenga, A Attili, H Pitsch AIAA SCITECH 2022 Forum, 0185, 2022 | 4 | 2022 |
| Effects of injector geometry in Air-Jet Vortex-Generator flow control G Scialabba Politecnico di Torino, 2018 | 3 | 2018 |
| Predictive data driven turbulence-combustion model through Super Resolution Generative Adversarial Network T Grenga, L Nista, C Schumann, AN Karimi, G Scialabba, M Bode, A Attili, ... 10th European Combustion Meeting, 426-431, 2021 | 1 | 2021 |
| Effects of Ammonia Substitution in the Fuel Stream and Exhaust Gas Recirculation on Extinction Limits of Non-premixed Methane–and Ethylene–Air Counterflow Flames C Chu, G Scialabba, P Liu, R Serrano-Bayona, FY Aydin, H Pitsch, ... Energy & Fuels 37 (18), 14393-14403, 2023 | | 2023 |
