Domenico Borzacchiello

According to our database, Domenico Borzacchiello authored at least 16 papers between 2016 and 2026.

Collaborative distances:

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

2026

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process.

Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Nathan Lauzeral, Sebastien Comas-Cardona

CoRR, March, 2026

2025

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks.

Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Nathan Lauzeral, Sebastien Comas-Cardona

CoRR, May, 2025

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks.

Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Yves Le Guennec, Sebastien Comas-Cardona

Mach. Learn., January, 2025

2024

Sensitivity analysis using Physics-informed neural networks.

John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello

Eng. Appl. Artif. Intell., 2024

Sparse approximations for contact mechanics.

Kiran S. Kollepara, José Vicente Aguado, Yves Le Guennec, Luisa Rocha-Da-Silva, Domenico Borzacchiello

CoRR, 2024

2023

Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes.

José M. Navarro-Jimenez, José Vicente Aguado, Grégoire Bazin, Vicente Albero, Domenico Borzacchiello

J. Intell. Manuf., June, 2023

An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems.

Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi, Luisa Rocha-Da-Silva

CoRR, 2023

2022

Sparse Data-Driven Quadrature Rules via ℓ p -Quasi-Norm Minimization.

Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello

Comput. Methods Appl. Math., 2022

2021

Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks.

John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello

CoRR, 2021

2020

Sparse data-driven quadrature rules via 𝓁^p-quasi-norm minimization.

Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello

CoRR, 2020

2019

Tensor Representation of Non-linear Models Using Cross Approximations.

José Vicente Aguado, Domenico Borzacchiello, Kiran S. Kollepara, Francisco Chinesta, Antonio Huerta

J. Sci. Comput., 2019

A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications.

Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta

Comput. Methods Programs Biomed., 2019

Shape parametrization of bio-mechanical finite element models based on medical images.

Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

2017

A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes.

José Vicente Aguado, Domenico Borzacchiello, Chady Ghnatios, François Lebel, Ram Upadhyay, Christophe Binetruy, Francisco Chinesta

Adv. Model. Simul. Eng. Sci., 2017

Inductive Learning from State Transitions over Continuous Domains.

Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue

Proceedings of the Inductive Logic Programming - 27th International Conference, 2017

2016

Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation.

Muhammad Haris Malik, Domenico Borzacchiello, Francisco Chinesta, Pedro Díez

Adv. Model. Simul. Eng. Sci., 2016