Nicola Demo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Optimization Problems

Top Venues

Adv. Model. Simul. Eng. Sci.

J. Open Source Softw.

Publications

Sara M. Ichinaga, Francesco Andreuzzi, Nicola Demo, Marco Tezzele, Karl Lapo, Gianluigi Rozza, Steven L. Brunton, J. Nathan Kutz
PyDMD: A Python package for robust dynamic mode decomposition. CoRR (2024)
Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda
Data-driven Discovery of Delay Differential Equations with Discrete Delays. CoRR (2024)
Harshith Gowrachari, Nicola Demo, Giovanni Stabile, Gianluigi Rozza
Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations. CoRR (2024)
Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, Gianluigi Rozza
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics. Adv. Model. Simul. Eng. Sci. 11 (1) (2024)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling. CoRR (2023)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A DeepONet multi-fidelity approach for residual learning in reduced order modeling. Adv. Model. Simul. Eng. Sci. 10 (1) (2023)
Dario Coscia, Nicola Demo, Gianluigi Rozza
Generative Adversarial Reduced Order Modelling. CoRR (2023)
Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Physics-Informed Neural networks for Advanced modeling. J. Open Source Softw. 8 (87) (2023)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. CoRR (2023)
Martina Teruzzi, Nicola Demo, Gianluigi Rozza
A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration. CoRR (2023)
Nicola Demo, Maria Strazzullo, Gianluigi Rozza
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. Comput. Math. Appl. 143 (2023)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation. J. Sci. Comput. 95 (1) (2023)
Francesco Andreuzzi, Nicola Demo, Gianluigi Rozza
A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems. SIAM J. Appl. Dyn. Syst. 22 (3) (2023)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A dimensionality reduction approach for convolutional neural networks. Appl. Intell. 53 (19) (2023)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. ICIP (2022)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks. CoRR (2022)
Dario Coscia, Laura Meneghetti, Nicola Demo, Giovanni Stabile, Gianluigi Rozza
A Continuous Convolutional Trainable Filter for Modelling Unstructured Data. CoRR (2022)
Anna Ivagnes, Nicola Demo, Gianluigi Rozza
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation. CoRR (2022)
Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza
PyGeM: Python Geometrical Morphing. Softw. Impacts 7 (2021)
Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. CoRR (2021)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems. SIAM J. Sci. Comput. 43 (3) (2021)
Francesco Andreuzzi, Nicola Demo, Gianluigi Rozza
A dynamic mode decomposition extension for the forecasting of parametric dynamical systems. CoRR (2021)
Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. CoRR (2021)
Laura Meneghetti, Nicola Demo, Gianluigi Rozza
A Dimensionality Reduction Approach for Convolutional Neural Networks. CoRR (2021)
Nicola Demo, Maria Strazzullo, Gianluigi Rozza
An extended physics informed neural network for preliminary analysis of parametric optimal control problems. CoRR (2021)
Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
Enhancing CFD predictions in shape design problems by model and parameter space reduction. Adv. Model. Simul. Eng. Sci. 7 (1) (2020)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems. CoRR (2020)
Nicola Demo, Giulio Ortali, Gianluca Gustin, Gianluigi Rozza, Gianpiero Lavini
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. CoRR (2020)
Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
Enhancing CFD predictions in shape design problems by model and parameter space reduction. CoRR (2020)
Giulio Ortali, Nicola Demo, Gianluigi Rozza
Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems. CoRR (2020)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. CoRR (2019)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
PyDMD: Python Dynamic Mode Decomposition. J. Open Source Softw. 3 (22) (2018)
Nicola Demo, Marco Tezzele, Gianluigi Rozza
EZyRB: Easy Reduced Basis method. J. Open Source Softw. 3 (24) (2018)
Enrico Calore, Nicola Demo, Sebastiano Fabio Schifano, Raffaele Tripiccione
Experience on Vectorizing Lattice Boltzmann Kernels for Multi- and Many-Core Architectures. PPAM (1) (2015)