Domenico Borzacchiello

18 papers B 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process.
CoRR
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Nathan Lauzeral, Sebastien Comas-Cardona
2025 J jnl
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks.
CoRR
Mouad Elaarabi, Domenico Borzacchiello, Yves Le Guennec, Philippe Le Bot, Sebastien Comas-Cardona
2025 J jnl
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks.
Mach. Learn.
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Yves Le Guennec, Sebastien Comas-Cardona
2025 J jnl
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks.
CoRR
Mouad Elaarabi, Domenico Borzacchiello, Philippe Le Bot, Nathan Lauzeral, Sebastien Comas-Cardona
2024 J jnl
Sensitivity analysis using Physics-informed neural networks.
Eng. Appl. Artif. Intell.
John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello
2024 J jnl
Sparse approximations for contact mechanics.
CoRR
Kiran S. Kollepara, José Vicente Aguado, Yves Le Guennec, Luisa Rocha-Da-Silva, Domenico Borzacchiello
2023 J jnl
An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems.
CoRR
Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi, Luisa Rocha-Da-Silva
2023 J jnl
Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes.
J. Intell. Manuf.
José M. Navarro-Jimenez, José Vicente Aguado, Grégoire Bazin, Vicente Albero, Domenico Borzacchiello
2023 J jnl
Sensitivity analysis using Physics-informed neural networks.
CoRR
John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello
2022 J jnl
Sparse Data-Driven Quadrature Rules via ℓ p -Quasi-Norm Minimization.
Comput. Methods Appl. Math.
Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello
2021 J jnl
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks.
CoRR
John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello
2020 J jnl
Sparse data-driven quadrature rules via 𝓁
CoRR
Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello
2019 J jnl
A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications.
Comput. Methods Programs Biomed.
Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta
2019 J jnl
Shape parametrization of bio-mechanical finite element models based on medical images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta
2019 J jnl
Tensor Representation of Non-linear Models Using Cross Approximations.
J. Sci. Comput.
José Vicente Aguado, Domenico Borzacchiello, Kiran S. Kollepara, Francisco Chinesta, Antonio Huerta
2017 J jnl
A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes.
Adv. Model. Simul. Eng. Sci.
José Vicente Aguado, Domenico Borzacchiello, Chady Ghnatios, François Lebel, Ram Upadhyay, Christophe Binetruy, Francisco Chinesta
2017 B conf
Inductive Learning from State Transitions over Continuous Domains.
ILP
Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue
2016 J jnl
Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation.
Adv. Model. Simul. Eng. Sci.
Muhammad Haris Malik, Domenico Borzacchiello, Francisco Chinesta, Pedro Díez