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Parametric Damage Mechanics Empowering Structural Health Monitoring of 3D Woven Composites

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1946-17

2023

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Engineering empowered by physics-based and data-driven hybrid models: A methodological overview

International journal of material forming, 2022-05, Vol.15 (3), Article 31

2022

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Learning Data-Driven Stable Corrections of Dynamical Systems—Application to the Simulation of the Top-Oil Temperature Evolution of a Power Transformer

Energies (Basel), 2023-08, Vol.16 (15), p.5790

2023

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Correction: Ghnatios et al. A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176

Computation, 2024-03, Vol.12 (3), p.56

2024

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Regularized regressions for parametric models based on separated representations

Advanced modeling and simulation in engineering sciences, 2023-03, Vol.10 (1), p.4-26, Article 4

2023

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A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels

Computation, 2022-10, Vol.10 (10), p.176

2022

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Parametric Curves Metamodelling Based on Data Clustering, Data Alignment, POD-Based Modes Extraction and PGD-Based Nonlinear Regressions

Frontiers in materials, 2022-06, Vol.9

2022

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Identification of material parameters in low-data limit: application to gradient-enhanced continua

International journal of material forming, 2024, Vol.17 (1), Article 10

2024

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Polymer extrusion die design using a data-driven autoencoders technique

International journal of material forming, 2024, Vol.17 (1), Article 4

2024

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Data Completion, Model Correction and Enrichment Based on Sparse Identification and Data Assimilation

Applied sciences, 2022-08, Vol.12 (15), p.7458

2022

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Optimal trajectory planning combining model-based and data-driven hybrid approaches

Advanced modeling and simulation in engineering sciences, 2024-12, Vol.11 (1), p.10-19, Article 10

2024

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Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

Sensors (Basel, Switzerland), 2020-10, Vol.20 (19), p.5686-15

2020

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Describing and Modeling Rough Composites Surfaces by Using Topological Data Analysis and Fractional Brownian Motion

Polymers, 2023-03, Vol.15 (6), p.1449

2023

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Empowering optimal transport matching algorithm for the construction of surrogate parametric metamodel

Mechanics & industry : an international journal on mechanical sciences and engineering applications, 2024, Vol.25, p.9

2024

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Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Metals (Basel ), 2021-05, Vol.11 (5), p.738

2021

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Parametric analysis and machine learning-based parametric modeling of wire laser metal deposition induced porosity

International journal of material forming, 2022-05, Vol.15 (3), Article 33

2022

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A parametric metamodel of the vehicle frontal structure accounting for material properties and strain-rate effect: application to full frontal rigid barrier crash test

Heliyon, 2022-12, Vol.8 (12), p.e12397-e12397, Article e12397

2022

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Application of PGD separation of space to create a reduced-order model of a lithium-ion cell structure

Frontiers in materials, 2023-08, Vol.10

2023

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Learning data-driven reduced elastic and inelastic models of spot-welded patches

Mechanics & industry : an international journal on mechanical sciences and engineering applications, 2021, Vol.22, p.32

2021

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PGD based meta modelling of a lithium-ion battery for real time prediction

Frontiers in materials, 2023-08, Vol.10

2023

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Modeling systems from partial observations

Frontiers in materials, 2022-10, Vol.9

2022

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Learning the Parametric Transfer Function of Unitary Operations for Real-Time Evaluation of Manufacturing Processes Involving Operations Sequencing

Applied sciences, 2021-06, Vol.11 (11), p.5146

2021

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Surrogate parametric metamodel based on Optimal Transport

Mathematics and computers in simulation, 2022-04, Vol.194, p.36-63

2022

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Hybrid twins based on optimal transport

Computers & mathematics with applications (1987), 2022-12, Vol.127, p.12-24

2022

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Multiparametric modeling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites

Composite structures, 2022-12, Vol.302, p.116228, Article 116228

2022

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Parametric Damage Mechanics Empowering Structural Health Monitoring of 3D Woven Composites

Engineering empowered by physics-based and data-driven hybrid models: A methodological overview

Learning Data-Driven Stable Corrections of Dynamical Systems—Application to the Simulation of the Top-Oil Temperature Evolution of a Power Transformer

Correction: Ghnatios et al. A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels. Computation 2022, 10, 176

Regularized regressions for parametric models based on separated representations

A Regularized Real-Time Integrator for Data-Driven Control of Heating Channels

Parametric Curves Metamodelling Based on Data Clustering, Data Alignment, POD-Based Modes Extraction and PGD-Based Nonlinear Regressions

Identification of material parameters in low-data limit: application to gradient-enhanced continua

Polymer extrusion die design using a data-driven autoencoders technique

Data Completion, Model Correction and Enrichment Based on Sparse Identification and Data Assimilation

Optimal trajectory planning combining model-based and data-driven hybrid approaches

Parametric Electromagnetic Analysis of Radar-Based Advanced Driver Assistant Systems

Describing and Modeling Rough Composites Surfaces by Using Topological Data Analysis and Fractional Brownian Motion

Empowering optimal transport matching algorithm for the construction of surrogate parametric metamodel

Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Parametric analysis and machine learning-based parametric modeling of wire laser metal deposition induced porosity

A parametric metamodel of the vehicle frontal structure accounting for material properties and strain-rate effect: application to full frontal rigid barrier crash test

Application of PGD separation of space to create a reduced-order model of a lithium-ion cell structure

Learning data-driven reduced elastic and inelastic models of spot-welded patches

PGD based meta modelling of a lithium-ion battery for real time prediction

Modeling systems from partial observations

Learning the Parametric Transfer Function of Unitary Operations for Real-Time Evaluation of Manufacturing Processes Involving Operations Sequencing

Surrogate parametric metamodel based on Optimal Transport

Hybrid twins based on optimal transport

Multiparametric modeling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites

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