Archivio Istituzionale della RicercaSACCAGGI, ENRICO
SACCAGGI, ENRICO
Dipartimento di Ingegneria Meccanica e Aerospaziale
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.01 secondi).
Bayesian optimisation of an opposition control strategy in a fully turbulent channel flow
2026 Saccaggi, Enrico; Di Cicca, Gaetano Maria
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
2025 Fiore, Matilde; Saccaggi, Enrico; Koloszar, Lilla; Bartosiewicz, Yann; Mendez, Miguel Alfonso
Application of a neural network for predicting the control effect on sweep events in a fully turbulent channel flow
2025 Saccaggi, E.; Di Cicca, G. M.
Genetic algorithm optimization of an opposition control strategy in a fully turbulent channel flow
2024 Saccaggi, Enrico; Di Cicca, Gaetano Maria
Neural Network-Based Prediction of Bursting Events in a Turbulent Channel Flow
In corso di stampa Saccaggi, Enrico; Di Cicca, Gaetano Maria
Bayesian optimization of opposition control parameters in a fully turbulent channel flow
2025 Saccaggi, Enrico; Di Cicca, Gaetano Maria
Sweep events characterization through CNN
2026 Saccaggi, Enrico; Zaza, Domenico; Iovieno, Michele; Mendez, Miguel Alfonso; Di Cicca, Gaetano Maria
Multi-objective training of an algebraic heat flux model to cure model-data inconsistencies in the momentum treatment
2023 Saccaggi, E.; Fiore, M.; Koloszar, L.; Mendez, M.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Bayesian optimisation of an opposition control strategy in a fully turbulent channel flow / Saccaggi, Enrico; Di Cicca, Gaetano Maria. - In: JOURNAL OF FLUID MECHANICS. - ISSN 1469-7645. - 1028:(2026), pp. 1-33. [10.1017/jfm.2026.11134] | 1-gen-2026 | Enrico SaccaggiGaetano Maria Di Cicca | bayesian-optimisation-of-an-opposition-control-strategy-in-a-fully-turbulent-channel-flow.pdf; Main+document.pdf |
| Data-driven turbulent heat flux modeling with inputs of multiple fidelity / Fiore, Matilde; Saccaggi, Enrico; Koloszar, Lilla; Bartosiewicz, Yann; Mendez, Miguel Alfonso. - In: PHYSICAL REVIEW FLUIDS. - ISSN 2469-990X. - 10:(2025). [10.1103/PhysRevFluids.10.034606] | 1-gen-2025 | Enrico SaccaggiMiguel Alfonso Mendez + | PhysRevFluids.10.034606.pdf; PRF_Fiore_et_al.pdf |
| Application of a neural network for predicting the control effect on sweep events in a fully turbulent channel flow / Saccaggi, E.; Di Cicca, G. M.. - ELETTRONICO. - (2025), pp. 1-11. ( AIAA AVIATION FORUM AND ASCEND, 2025 Las Vegas, Nevada, USA 21-25 July 2025) [10.2514/6.2025-3022]. | 1-gen-2025 | Saccaggi E.Di Cicca G. M. | saccaggi-di-cicca-2025-application-of-a-neural-network-for-predicting-the-control-effect-on-sweep-events-in-a-fully.pdf; AIAA_Las_Vegas_2025_Full_Paper.pdf |
| Genetic algorithm optimization of an opposition control strategy in a fully turbulent channel flow / Saccaggi, Enrico; Di Cicca, Gaetano Maria. - ELETTRONICO. - (2024), pp. 1-14. ( 34th Congress of the International Council of the Aeronautical Sciences Florence (IT) 9-13 September 2024). | 1-gen-2024 | Saccaggi, EnricoDi Cicca, Gaetano Maria | icas2024_1208_paper.pdf |
| Neural Network-Based Prediction of Bursting Events in a Turbulent Channel Flow / Saccaggi, Enrico; Di Cicca, Gaetano Maria. - (In corso di stampa), pp. 1-6. ( 28th AIDAA International Congress and the 10th CEAS Aerospace Europe Conference Turin (IT) 1-4 December, 2025). | In corso di stampa | Enrico SaccaggiGaetano Maria Di Cicca | - |
| Bayesian optimization of opposition control parameters in a fully turbulent channel flow / Saccaggi, Enrico; Di Cicca, Gaetano Maria. - In: ERCOFTAC BULLETIN. - ISSN 2518-0991. - 144:(2025), pp. 27-32. [10.57651/b144.6] | 1-gen-2025 | Saccaggi, EnricoDi Cicca, Gaetano Maria | ERCOFTAC Bulletin 144 Saccaggi_Di_Cicca.pdf |
| Sweep events characterization through CNN / Saccaggi, Enrico; Zaza, Domenico; Iovieno, Michele; Mendez, Miguel Alfonso; Di Cicca, Gaetano Maria. - ELETTRONICO. - (2026), pp. 1-1. ( 3rd ERCOFTAC Machine learning for fluid dynamics Amsterdam 4-6 March, 2026). | 1-gen-2026 | enrico, SaccaggiDomenico, ZazaMichele, IovienoMiguel Alfonso, MendezGaetano Maria, Di Cicca | ERCOFTAC_ML_3___AMSTERDAM_enrico_saccaggi.pdf |
| Multi-objective training of an algebraic heat flux model to cure model-data inconsistencies in the momentum treatment / Saccaggi, E.; Fiore, M.; Koloszar, L.; Mendez, M.. - (2023). ( Math 2 Product (M2P) Emerging Technologies in Computational Science for Industry, Sustainability and Innovation Taormina June 2023). | 1-gen-2023 | E. Saccaggi + | 87340ba1b76311ed9760000c29ddfc0c.pdf |