Biblio

Found 7 results
Author [ Keyword(Desc)] Type Year
Filters: First Letter Of Last Name is N  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
combustor-HPT interaction
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.
GT2024-127446
entropy waves
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.
GT2024-127446
High-performance computing
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.
Physics-Informed Neural Networks; artificial intelligence; Fluid Dynamic; Partial Differential Equations; Navier-Stokes
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.
turbine aerodynamics
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.
GT2024-127446