Biblio

Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi ASH, Marconcini M, Akolekar HD, Sandberg RD.  Submitted.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME J Turbomach.

Pinelli L, Malcaus M, Giannini G, Marconcini M.  Submitted.  Some Experiences About the RANS Modeling of UHBR Fan: The Case of ECL5/CATANA. 16th European Turbomachinery Conference ETC16.

Bottarelli T, Fanfani M, Nesi P, Pinelli L.  Submitted.  Using Physics-Informed Neural Networks for Solving Navier-Stokes Equations in Complex Scenarios. Engineering Applications of Artificial Intelligence.

Innocenti G, Marconcini M, Michelassi V, Ciani A, Jurek T, Scotti Del Greco A, Pacciani R.  2025.  On the Assessment of CFD Assumptions for the Preliminary Design of a Two-Stage High-Pressure Turbine: Impact of Unsteady Effects on Thermal Loads. Int. J. Heat Mass Transf. 236(1)

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2025.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME J Turbomach. 147(4):041015.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2025.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME J Turbomach. 147(7):071008.

Lottini F, Bicchi M, Agnolucci A, Marconcini M, Arnone A.  2024.  Artificial Intelligence-Based Performance Maps for Expander-Compressor Analysis in Energy Transition Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery:V12DT35A026.

Fang Y, Zhao Y, Akolekar HD, Ooi ASH, Sandberg RD, Pacciani R, Marconcini M.  2024.  A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines. ASME J. Turbomach.. 146(9):091005.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  The Effect of Entropy Waves Features on the Indirect Noise Generation within an Aeronautical High Pressure Turbine Stage. Journal of Physics Conference Series - 79th ATI National Conference. 2893

Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi A, Marconcini M, Akolekar H, Sandberg R.  2024.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12C: Turbomachinery:V12CT32A023.

Pela A, Marconcini M, Arnone A, Agnolucci A, Toni L, Valente R, Belardini E.  2024.  Exploiting Deep Learning for the Optimization of Transonic Centrifugal Impellers. Journal of Physics Conference Series - 79th ATI National Conference. 2893

Pinelli L, Marconcini M, Arnone A, Bacci D.  2024.  High Fidelity Modeling of Acoustic Liners For Aeronautical Applications. 34th Congress of the International Council of the Aeronautical Sciences.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  The Impact of the Off-Design Conditions on the Entropy Wave Interaction With a High-Pressure Turbine Stage. ASME J. Turbomach.. 146(4):041003.

Pacciani R, Marconcini M, Arnone A, Bertini F, Spano E, Rosa Taddei S, Sandberg RD.  2024.  Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. ASME J. Turbomach.. 146(5):051009.

Bandini A, Cascino A, Meli E, Pinelli L, Marconcini M.  2024.  Improving Aeromechanical Performance of Compressor Rotor Blisk With Topology Optimization. Energies. 17(8):1883.

Batisti M, Pinelli L, Toni L, Guglielmo A, Marconcini M, Arnone A.  2024.  Innovative Cavity Modeling for Centrifugal Compressors Aeromechanical Analysis. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery :V12DT35A025.

Hussain Z, Bacci D, Pinelli L.  2024.  Numerical Analysis of Combustor Burn-Through Representative Jet. 8th edition of the International Conference on Jets, Wakes and Separated Flows – ICJWSF.

Pacciani R, Fang Y, Metti L, Marconcini M, Sandberg RD.  2024.  A Reformulation of the Laminar Kinetic Energy Model to Enable Multi-Mode Transition Predictions.. Flow, Turbulence and Combustion. s10494-024-00590-y

Pinelli L, Poli F, Arnone A, D’Ettole A G, Rosso E, Sartor G, Kharyton V.  2024.  The Role of Operating Conditions on Flutter Instability of a Low-Pressure Turbine Rotor. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A014.

Bandini A, Bettini C, Peruzzi L, Caretta M, Canelli C, Marconcini M, Pinelli L, Arnone A.  2024.  Targeting Full-Hydrogen Operation on Industrial-Scale Gas Turbines: Impact of Unconventional Fuels on Turbine Module Performance and Aeromechanics. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12B: Turbomachinery:V12BT30A043.

Pinelli L, Giannini G, Marconcini M, Pacciani R, Notaristefano A, Gaetani P.  2024.  Understanding Entropy Wave Evolution in High-Pressure Turbines: The Role of Hot Spot Position and Features. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 12D: Turbomachinery:V12DT36A015.

Pinelli L, Vienni D, Tapinassi L, Michelassi V, Burberi C, Lorusso S, Ignesti M, Marconcini M.  2024.  Understanding the Aerodynamic Damping Behavior of an Axial Compressor Rotor for Industrial Applications. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition. Volume 10A: Structures and Dynamics:V10AT21A016.

Savio P, Scionti A, Vitali G, Viviani P, Vercellino C, Terzo O, Nguyen H-N, Magarielli D, Spano E, Marconcini M et al..  2023.  Accelerating Legacy Applications with Spatial Computing Devices. Journal of Supercomputing. 79:7461–7483.

Lottini F, Marconcini M, Arnone A, Biliotti D, Foschini A.  2023.  Aerodynamic Design, Study, and Performance Mapping of a Radial-Axial Machine for Geothermal Power Plants in Energy Transition Applications. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13D: Turbomachinery

Rosenzweig M, Giaccherini S, Pinelli L, Kozul M, Sandberg RD, Marconcini M, Pacciani R.  2023.  Best-Practice Guidelines for High-Fidelity Simulations Based on Detailed Analysis of a Highly-Loaded Low-Pressure Turbine Cascade. ASME Turbo Expo 2023 Turbomachinery Technical Conference and Exposition. 13B: Turbomachinery