Nicola Demo

According to our database, Nicola Demo authored at least 54 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Machine Learning-based quadratic closures for non-intrusive Reduced Order Models.

Gabriele Codega, Anna Ivagnes, Nicola Demo, Gianluigi Rozza

CoRR, June, 2025

BARNN: A Bayesian Autoregressive and Recurrent Neural Network.

Dario Coscia, Max Welling, Nicola Demo, Gianluigi Rozza

CoRR, January, 2025

Data-driven discovery of delay differential equations with discrete delays.

Alessandro Pecile, Nicola Demo, Marco Tezzele, Gianluigi Rozza, Dimitri Breda

J. Comput. Appl. Math., 2025

KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition.

Laura Meneghetti, Edoardo Bianchi, Nicola Demo, Gianluigi Rozza

Proceedings of the Design and Architecture for Signal and Image Processing, 2025

2024

Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics.

Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, Gianluigi Rozza

Adv. Model. Simul. Eng. Sci., December, 2024

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2024

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, March, 2024

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, February, 2024

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, January, 2024

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformations.

Harshith Gowrachari, Nicola Demo, Giovanni Stabile, Gianluigi Rozza

CoRR, 2024

PyDMD: A Python package for robust dynamic mode decomposition.

Sara M. Ichinaga, Francesco Andreuzzi, Nicola Demo, Marco Tezzele, Karl Lapo, Gianluigi Rozza, Steven L. Brunton, J. Nathan Kutz

CoRR, 2024

2023

A DeepONet multi-fidelity approach for residual learning in reduced order modeling.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Adv. Model. Simul. Eng. Sci., December, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, December, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, November, 2023

A dimensionality reduction approach for convolutional neural networks.

Laura Meneghetti, Nicola Demo, Gianluigi Rozza

Appl. Intell., October, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, October, 2023

A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems.

Francesco Andreuzzi, Nicola Demo, Gianluigi Rozza

SIAM J. Appl. Dyn. Syst., September, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, September, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, August, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, July, 2023

PINA: Physics-Informed Neural networks for Advanced modeling.

Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza

Dataset, July, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, June, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, May, 2023

Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation.

Anna Ivagnes, Nicola Demo, Gianluigi Rozza

J. Sci. Comput., April, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2023

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, March, 2023

Physics-Informed Neural networks for Advanced modeling.

Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza

J. Open Source Softw., 2023

Generative Adversarial Reduced Order Modelling.

Dario Coscia, Nicola Demo, Gianluigi Rozza

CoRR, 2023

A shape optimization pipeline for marine propellers by means of reduced order modeling techniques.

Anna Ivagnes, Nicola Demo, Gianluigi Rozza

CoRR, 2023

A Graph-based Framework for Complex System Simulating and Diagnosis with Automatic Reconfiguration.

Martina Teruzzi, Nicola Demo, Gianluigi Rozza

CoRR, 2023

An extended physics informed neural network for preliminary analysis of parametric optimal control problems.

Nicola Demo, Maria Strazzullo, Gianluigi Rozza

Comput. Math. Appl., 2023

2022

A Continuous Convolutional Trainable Filter for Modelling Unstructured Data.

Dario Coscia, Laura Meneghetti, Nicola Demo, Giovanni Stabile, Gianluigi Rozza

CoRR, 2022

A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks.

Laura Meneghetti, Nicola Demo, Gianluigi Rozza

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

PyGeM: Python Geometrical Morphing.

Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza

Softw. Impacts, 2021

A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

SIAM J. Sci. Comput., 2021

The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations.

Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, Gianluigi Rozza

CoRR, 2021

Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing.

Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza

CoRR, 2021

2020

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems.

Giulio Ortali, Nicola Demo, Gianluigi Rozza

CoRR, 2020

An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques.

Nicola Demo, Giulio Ortali, Gianluca Gustin, Gianluigi Rozza, Gianpiero Lavini

CoRR, 2020

Enhancing CFD predictions in shape design problems by model and parameter space reduction.

Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza

Adv. Model. Simul. Eng. Sci., 2020

2019

A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

CoRR, 2019

2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

Dataset, April, 2018

PyDMD: Python Dynamic Mode Decomposition.

Marco Tezzele, Nicola Demo, Gianluigi Rozza

Dataset, February, 2018

EZyRB: Easy Reduced Basis method.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

J. Open Source Softw., 2018

PyDMD: Python Dynamic Mode Decomposition.

Nicola Demo, Marco Tezzele, Gianluigi Rozza

J. Open Source Softw., 2018

2015

Experience on Vectorizing Lattice Boltzmann Kernels for Multi- and Many-Core Architectures.

Enrico Calore, Nicola Demo, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the Parallel Processing and Applied Mathematics, 2015