TEZZELE, MARCO

TEZZELE, MARCO  

Scuola Internazionale Superiore di Studi Avanzati  

Mostra records
Risultati 1 - 20 di 20 (tempo di esecuzione: 0.02 secondi).
Titolo Data di pubblicazione Autori File
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and perspectives 1-gen-2016 Salmoiraghi, FilippoBALLARIN, FRANCESCOCorsi, GiovanniMola, AndreaTezzele, MarcoRozza, Gianluigi
Advances in reduced order methods for parametric industrial problems in computational fluid dynamics 1-gen-2018 Gianluigi RozzaMALIK, Muhammad HarisNicola DemoMarco TezzeleGirfoglio, MicheleGiovanni StabileAndrea Mola
Basic ideas and tools for projection-based model reduction of parametric partial differential equations 1-gen-2020 Rozza G.Hess M.Stabile G.Tezzele M.Ballarin F.
Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods 1-gen-2018 Marco TezzeleFrancesco BallarinGianluigi Rozza
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems 1-gen-2019 Nicola DemoMarco TezzeleAndrea MolaGianluigi Rozza
Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering 24-set-2021 TEZZELE, MARCO
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems 1-gen-2018 Tezzele, MarcoSalmoiraghi, FilippoMola, AndreaRozza, Gianluigi
Efficient reduction in shape parameter space dimension for ship propeller blade design 1-gen-2019 Mola AndreaTezzele MarcoGadalla MahmoudRozza Gianluigi +
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment 1-gen-2018 Demo, NicolaTezzele, MarcoMola, AndreaRozza, Gianluigi
Enhancing CFD predictions in shape design problems by model and parameter space reduction 1-gen-2020 Tezzele M.Demo N.Stabile G.Mola A.Rozza G.
Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing 1-gen-2021 Nicola DemoMarco TezzeleAndrea MolaGianluigi Rozza
Isogeometric analysis in HPC: object oriented design and open source massively parallel implementation 18-dic-2015 Tezzele, Marco
Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics 1-gen-2018 Tezzele, MarcoDemo, NicolaGADALLA, Mahmoud Gamal Ali SalemMola, AndreaRozza, Gianluigi
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces 1-gen-2019 Nicola DemoMarco TezzeleGianluigi Rozza
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis 1-gen-2021 Gadalla, M.Tezzele, M.Stabile, G.Mola, A.Rozza, G. +
PyGeM: Python Geometrical Morphing 1-gen-2021 Tezzele, M.Demo, N.Mola, A.Rozza, G.
Shape Optimization by means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition 1-gen-2018 Demo, NicolaTezzele, MarcoRozza, Gianluigi +
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces 1-gen-2019 Tezzele MarcoDemo NicolaRozza Gianluigi
SRtP 2.0 — The Evolution of the Safe Return to Port Concept 1-gen-2018 Mola AndreaTezzele MarcoRozza Gianluigi +
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems 1-gen-2021 Demo N.Tezzele M.Rozza G.