Archivio Istituzionale della RicercaSfoglia per Autore
Flow Models for a Vortex Cell
2009 Donelli, R; Iannelli, P; Chernyshenko, S; Iollo, Angelo; Zannetti, Luca
On continuation of inviscid vortex patches
2010 Gallizio, Federico; Iollo, Angelo; Protas, B; Zannetti, Luca
A Sharp Contact Discontinuity Scheme for Multimaterial Models
2011 Iollo, Angelo; Milcent, T.; Telib, Haysam
The effect of shocks on second order sensitivities for the quasi-one-dimensional Euler equations
2011 Telib, Haysam; Arian, E.; Iollo, Angelo
Efficient asymptotic preserving schemes for BGK and ES-BGK models on cartesian grids
2015 Bernard, Florian; Iollo, Angelo; Puppo, G.
A zonal Galerkin-free POD model for incompressible flows
2018 Bergmann, Michel; Ferrero, Andrea; Iollo, Angelo; Lombardi, Edoardo; Scardigli, Angela; Telib, Haysam
Global and local POD models for the prediction of compressible flows with DG methods
2018 Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco
A finite-difference method for the variable coefficient Poisson equation on hierarchical Cartesian meshes
2018 Raeli, Alice; Michell, Bermann; Iollo, Angelo
RANS closure approximation by artificial neural networks
2019 Ferrero, A.; Iollo, A.; Larocca, F.
Reduced order modelling for turbomachinery shape design
2019 Ferrero, A.; Iollo, A.; Larocca, F.
Field inversion for data-augmented RANS modelling in turbomachinery flows
2020 Ferrero, A.; Iollo, A.; Larocca, F.
The role of uncertainty in data-driven turbulence modelling
2021 Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco; Pennecchi, Francesca Romana
Machine learning methods for the simulation of turbulent flows in turbomachinery
2021 Ferrero, Andrea; Larocca, Francesco; Iollo, Angelo; Philibert, Thomas
FIELD INVERSION AND MACHINE LEARNING STRATEGIES FOR IMPROVING RANS MODELLING IN TURBOMACHINERY
2021 Ferrero, A.; Iollo, A.; Larocca, F.; Loffredo, M.; Menegatti, E.
REYNOLDS STRESS CORRECTION BY MACHINE LEARNING METHODS WITH PHYSICAL CONSTRAINTS
2022 Philibert, T.; Iollo, A.; Ferrero, A.; Larocca, F.
Reynolds stress correction by data assimilation methods with physical constraints
2023 Philibert, T; Ferrero, A; Iollo, A; Larocca, F
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Flow Models for a Vortex Cell / Donelli, R; Iannelli, P; Chernyshenko, S; Iollo, Angelo; Zannetti, Luca. - In: AIAA JOURNAL. - ISSN 0001-1452. - 47(2):(2009), pp. 451-467. [10.2514/1.37662] | 1-gen-2009 | IOLLO, ANGELOZANNETTI, LUCA + | - |
| On continuation of inviscid vortex patches / Gallizio, Federico; Iollo, Angelo; Protas, B; Zannetti, Luca. - In: PHYSICA D-NONLINEAR PHENOMENA. - ISSN 0167-2789. - 239:3-4(2010), pp. 190-201. [10.1016/j.physd.2009.10.015] | 1-gen-2010 | GALLIZIO, FEDERICOIOLLO, ANGELOZANNETTI, LUCA + | - |
| A Sharp Contact Discontinuity Scheme for Multimaterial Models / Iollo, Angelo; Milcent, T.; Telib, Haysam. - STAMPA. - (2011), pp. 581-589. (Intervento presentato al convegno Finite Volumes for Complex Applications VI tenutosi a Prague nel 06/06/2011-10/06/2011). | 1-gen-2011 | IOLLO, ANGELOTELIB, HAYSAM + | - |
| The effect of shocks on second order sensitivities for the quasi-one-dimensional Euler equations / Telib, Haysam; Arian, E.; Iollo, Angelo. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - STAMPA. - 230:(2011), pp. 8603-8618. [10.1016/j.jcp.2011.08.010] | 1-gen-2011 | TELIB, HAYSAMIOLLO, ANGELO + | - |
| Efficient asymptotic preserving schemes for BGK and ES-BGK models on cartesian grids / Bernard, Florian; Iollo, Angelo; Puppo, G.. - (2015). [10.6092/polito/porto/2617451] | 1-gen-2015 | BERNARD, FLORIANIOLLO, ANGELO + | PhD_thesis.pdf |
| A zonal Galerkin-free POD model for incompressible flows / Bergmann, Michel; Ferrero, Andrea; Iollo, Angelo; Lombardi, Edoardo; Scardigli, Angela; Telib, Haysam. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - 352:(2018), pp. 301-325. [10.1016/j.jcp.2017.10.001] | 1-gen-2018 | Ferrero, AndreaIollo, AngeloSCARDIGLI, ANGELA + | published_version_online_final.pdf |
| Global and local POD models for the prediction of compressible flows with DG methods / Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco. - In: INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING. - ISSN 0029-5981. - 116:5(2018), pp. 332-357. [10.1002/nme.5927] | 1-gen-2018 | Ferrero, AndreaIollo, AngeloLarocca, Francesco | Ferrero_et_al-2018-International_Journal_for_Numerical_Methods_in_Engineering.pdf; paper_post-print.pdf |
| A finite-difference method for the variable coefficient Poisson equation on hierarchical Cartesian meshes / Raeli, Alice; Michell, Bermann; Iollo, Angelo. - In: JOURNAL OF COMPUTATIONAL PHYSICS. - ISSN 0021-9991. - ELETTRONICO. - 355:(2018), pp. 55-77. [10.1016/j.jcp.2017.11.007] | 1-gen-2018 | RAELI, ALICEAngelo Iollo + | - |
| RANS closure approximation by artificial neural networks / Ferrero, A.; Iollo, A.; Larocca, F.. - ELETTRONICO. - (2019), pp. 1-14. (Intervento presentato al convegno 13th European Turbomachinery Conference on Turbomachinery Fluid Dynamics and Thermodynamics, ETC 2019 tenutosi a Lausanne (CH) nel April 8-12, 2019). | 1-gen-2019 | Ferrero A.Iollo A.Larocca F. | ETC2019-264.pdf |
| Reduced order modelling for turbomachinery shape design / Ferrero, A.; Iollo, A.; Larocca, F.. - In: INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS. - ISSN 1061-8562. - (2019), pp. 1-12. [10.1080/10618562.2019.1691722] | 1-gen-2019 | Ferrero A.Iollo A.Larocca F. | post-print.pdf; Reduced order modelling for turbomachinery shape design.pdf |
| Field inversion for data-augmented RANS modelling in turbomachinery flows / Ferrero, A.; Iollo, A.; Larocca, F.. - In: COMPUTERS & FLUIDS. - ISSN 0045-7930. - ELETTRONICO. - 201:(2020), p. 104474. [10.1016/j.compfluid.2020.104474] | 1-gen-2020 | Ferrero A.Iollo A.Larocca F. | field_inversion_published.pdf; field_inversion_preprint.pdf; paper.pdf |
| The role of uncertainty in data-driven turbulence modelling / Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco; Pennecchi, Francesca Romana. - ELETTRONICO. - (2021), pp. 118-119. (Intervento presentato al convegno Mathematical and Statistical Methods for Metrology MSMM 2021 tenutosi a Virtual workshop nel 31 May – 1 June 2021). | 1-gen-2021 | Ferrero, AndreaIollo, AngeloLarocca, FrancescoPennecchi, Francesca Romana | MSMM2021_Ferrero_et_al.pdf |
| Machine learning methods for the simulation of turbulent flows in turbomachinery / Ferrero, Andrea; Larocca, Francesco; Iollo, Angelo; Philibert, Thomas. - ELETTRONICO. - (2021), pp. 46-47. (Intervento presentato al convegno Euromech Colloquium 614 - Machine learning methods for prediction and control of turbulent flows tenutosi a Paris (Fr) nel June 16-18, 2021). | 1-gen-2021 | Ferrero, AndreaLarocca, FrancescoIollo, AngeloPhilibert, Thomas | EUROMECH614_Ferrero_et_al.pdf |
| FIELD INVERSION AND MACHINE LEARNING STRATEGIES FOR IMPROVING RANS MODELLING IN TURBOMACHINERY / Ferrero, A.; Iollo, A.; Larocca, F.; Loffredo, M.; Menegatti, E.. - ELETTRONICO. - (2021), pp. 1-16. (Intervento presentato al convegno 14th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, ETC 2021 tenutosi a Gdansk (Poland) - Online nel 2021) [10.29008/ETC2021-617]. | 1-gen-2021 | Ferrero A.Iollo A.Larocca F.Loffredo M. + | ETC2021-617.pdf; ETC2021-617.pdf |
| REYNOLDS STRESS CORRECTION BY MACHINE LEARNING METHODS WITH PHYSICAL CONSTRAINTS / Philibert, T.; Iollo, A.; Ferrero, A.; Larocca, F.. - ELETTRONICO. - (2022), pp. 1-12. (Intervento presentato al convegno 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022 tenutosi a Oslo (Norway) nel 5-9 June 2022) [10.23967/eccomas.2022.235]. | 1-gen-2022 | Philibert T.Iollo A.Ferrero A.Larocca F. | Papier_eccomas (4).pdf |
| Reynolds stress correction by data assimilation methods with physical constraints / Philibert, T; Ferrero, A; Iollo, A; Larocca, F. - In: ADVANCES IN AIRCRAFT AND SPACECRAFT SCIENCE. - ISSN 2287-528X. - 10:6(2023), pp. 521-543. [10.12989/aas.2023.10.6.521] | 1-gen-2023 | Philibert, TFerrero, AIollo, ALarocca, F | - |
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