domenico borzacchiello

About domenico borzacchiello

domenico borzacchiello, With an exceptional h-index of 16 and a recent h-index of 12 (since 2020), a distinguished researcher at École Centrale de Nantes, specializes in the field of Computer Methods for Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

A self-supervised learning framework based on physics-informed and convolutional neural networks to identify local anisotropic permeability tensor from textiles 2D images for …

An iterative multi‐fidelity approach for model order reduction of multidimensional input parametric PDE systems

Comparing different stabilization strategies for reduced order modeling of viscoelastic fluid flow problems

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

Sensitivity analysis using Physics-informed neural networks

Shape parameterizations for reduced order modeling in biophysics

Residual-based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks

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

domenico borzacchiello Information

University

Position

___

Citations(all)

644

Citations(since 2020)

524

Cited By

328

hIndex(all)

16

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

domenico borzacchiello Skills & Research Interests

Computer Methods for Engineering

Top articles of domenico borzacchiello

Title

Journal

Author(s)

Publication Date

A self-supervised learning framework based on physics-informed and convolutional neural networks to identify local anisotropic permeability tensor from textiles 2D images for …

John M Hanna

José V Aguado

Sebastien Comas-Cardona

Yves Le Guennec

Domenico Borzacchiello

2024/1/12

An iterative multi‐fidelity approach for model order reduction of multidimensional input parametric PDE systems

International Journal for Numerical Methods in Engineering

Manisha Chetry

Domenico Borzacchiello

Lucas Lestandi

Luisa Rocha Da Silva

2023/11/30

Comparing different stabilization strategies for reduced order modeling of viscoelastic fluid flow problems

Computers & Fluids

Manisha Chetry

Domenico Borzacchiello

Gaetano D’Avino

Luisa Rocha Da Silva

2023/10/30

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

Journal of Intelligent Manufacturing

José M Navarro-Jiménez

José V Aguado

Grégoire Bazin

Vicente Albero

Domenico Borzacchiello

2023/6

Sensitivity analysis using Physics-informed neural networks

arXiv preprint arXiv:2301.02428

John M Hanna

José V Aguado

Sebastien Comas-Cardona

Ramzi Askri

Domenico Borzacchiello

2023/1/6

Shape parameterizations for reduced order modeling in biophysics

Nathan Lauzeral

Domenico Borzacchiello

2023/1/1

Residual-based adaptivity for two-phase flow simulation in porous media using physics-informed neural networks

Computer Methods in Applied Mechanics and Engineering

John M Hanna

Jose V Aguado

Sebastien Comas-Cardona

Ramzi Askri

Domenico Borzacchiello

2022/6/1

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

Computational Methods in Applied Mathematics

Mattia Manucci

Jose Vicente Aguado

Domenico Borzacchiello

2022/4/1

Generic Framework for Developing Process Digital Twin Applicable to High Value-Added Manufacturing

Proceedings of the SAMPE Nexus

Ram Upadhyay

Domenico Borzacchiello

Jose Aguado

Umang Garg

V Arona

2021

Sparse data-driven quadrature rules via -quasi-norm minimization

arXiv preprint arXiv:2012.05264

Mattia Manucci

Jose Vicente Aguado

Domenico Borzacchiello

2020/12/9

See List of Professors in domenico borzacchiello University(École Centrale de Nantes)