Demo, Nicola

Demo, Nicola  

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Titolo Data di pubblicazione Autori File
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
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
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques 1-gen-2021 Nicola DemoGiulio OrtaliGianluigi Rozza +
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
Increasing speedup of naval hull workflow optimization using Reduced Order Methods 16-dic-2016 Demo, Nicola
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
The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations 1-gen-2022 Papapicco, DavideDemo, NicolaGirfoglio, MicheleStabile, GiovanniRozza, Gianluigi
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces 1-gen-2019 Nicola DemoMarco TezzeleGianluigi Rozza
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
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.