Ph.D. candidate in Energetica , 39th cycle (2023-2026)
Department of Energy (DENERG)
Profile
PhD
Research topic
Ottimizzazione delle prestazioni aerodinamiche e termiche degli stadi di turbina ad alta pressione per motori a detonazione rotante mediante tecniche di Machine Learning.
Tutors
Keywords
Teaching
Teachings
Bachelor of Science
- Laboratorio computazionale di scambio termico e Fondamenti di macchine (modulo di Fondamenti di macchine). A.A. 2024/25, INGEGNERIA ENERGETICA. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Labrini, Giovanni; Nastasi, Rosario; Salvadori, Simone; Misul, Daniela Anna (2026)
Optimization of an high-pressure turbine vane for pressure gain combustion cycles through convolutional neural network. In: ENERGY AND AI, vol. 24. ISSN 2666-5468
Contributo su Rivista - Nastasi, Rosario; Labrini, Giovanni; Salvadori, Simone; Misul, Daniela Anna (2024)
Shape Optimization of a Diffusive High-Pressure Turbine Vane Using Machine Learning Tools. In: ENERGIES, vol. 17, pp. 1-21. ISSN 1996-1073
Contributo su Rivista - Carusotto, Salvatore; Salvadori, Simone; Baratta, Mirko; Misul, Daniela; Labrini, ... (2023)
Evaluation of NOx Emissions Associated to Non-Premixed Combustion of H2/Natural Gas Blends in a 40MW Heavy-Duty Gas Turbine. In: ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, Boston, Massachusetts, USA, June 26–30, 2023, pp. 1-12. ISBN: 978-0-7918-8696-0
Contributo in Atti di Convegno (Proceeding) - Carusotto, Salvatore; Labrini, Giovanni; Salvadori, Simone; Baratta, Mirko; Cardile, ... (2023)
Evaluation of Nox Emissions Associated to Non-Premixed Combustion of H2/Natural Gas Blends in a 40 MW Heavy-Duty Gas Turbine. In: JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER, vol. 145. ISSN 0742-4795
Contributo su Rivista