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ORCIDDomenico Borzacchiello
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2020 – today
- 2024
[j8]John M. Hanna
, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello:
Sensitivity analysis using Physics-informed neural networks. Eng. Appl. Artif. Intell. 135: 108764 (2024)- [i5]Kiran S. Kollepara, José Vicente Aguado, Yves Le Guennec, Luisa Rocha-Da-Silva, Domenico Borzacchiello:
Sparse approximations for contact mechanics. CoRR abs/2406.11461 (2024) - 2023
- [j7]José M. Navarro-Jimenez, José Vicente Aguado, Grégoire Bazin, Vicente Albero, Domenico Borzacchiello:
Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes. J. Intell. Manuf. 34(5): 2345-2358 (2023) - [i4]John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello:
Sensitivity analysis using Physics-informed neural networks. CoRR abs/2301.02428 (2023) - [i3]Manisha Chetry, Domenico Borzacchiello, Lucas Lestandi, Luisa Rocha-Da-Silva:
An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems. CoRR abs/2301.09483 (2023) - 2022
- [j6]Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello:
Sparse Data-Driven Quadrature Rules via ℓ p -Quasi-Norm Minimization. Comput. Methods Appl. Math. 22(2): 389-411 (2022) - 2021
- [i2]John M. Hanna, José Vicente Aguado, Sebastien Comas-Cardona, Ramzi Askri, Domenico Borzacchiello:
Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks. CoRR abs/2109.14290 (2021) - 2020
- [i1]Mattia Manucci, José Vicente Aguado, Domenico Borzacchiello:
Sparse data-driven quadrature rules via 𝓁p-quasi-norm minimization. CoRR abs/2012.05264 (2020)
2010 – 2019
- 2019
- [j5]Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta:
Shape parametrization of bio-mechanical finite element models based on medical images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(5-6): 480-489 (2019) - [j4]Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta:
A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. Comput. Methods Programs Biomed. 170: 95-106 (2019) - [j3]José Vicente Aguado, Domenico Borzacchiello, Kiran S. Kollepara, Francisco Chinesta, Antonio Huerta:
Tensor Representation of Non-linear Models Using Cross Approximations. J. Sci. Comput. 81(1): 22-47 (2019) - 2017
- [j2]José Vicente Aguado, Domenico Borzacchiello, Chady Ghnatios, François Lebel, Ram Upadhyay, Christophe Binetruy, Francisco Chinesta:
A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes. Adv. Model. Simul. Eng. Sci. 4(1): 1:1-1:26 (2017) - [c1]Tony Ribeiro, Sophie Tourret, Maxime Folschette, Morgan Magnin, Domenico Borzacchiello, Francisco Chinesta, Olivier F. Roux, Katsumi Inoue:
Inductive Learning from State Transitions over Continuous Domains. ILP 2017: 124-139 - 2016
- [j1]Muhammad Haris Malik, Domenico Borzacchiello, Francisco Chinesta, Pedro Díez:
Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation. Adv. Model. Simul. Eng. Sci. 3(1): 31:1-31:18 (2016)
Coauthor Index
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