| PGD-based advanced nonlinear multiparametric regressions for constructing metamodels at the scarce-data limit A Sancarlos, V Champaney, JL Duval, E Cueto, F Chinesta arXiv preprint arXiv:2103.05358, 2021 | 30 | 2021 |
| Surrogate parametric metamodel based on Optimal Transport S Torregrosa, V Champaney, A Ammar, V Herbert, F Chinesta Mathematics and Computers in Simulation 194, 36-63, 2022 | 24 | 2022 |
| Physics informed and data-based augmented learning in structural health diagnosis D Di Lorenzo, V Champaney, JY Marzin, C Farhat, F Chinesta Computer Methods in Applied Mechanics and Engineering 414, 116186, 2023 | 21 | 2023 |
| Data-driven modeling for multiphysics parametrized problems-application to induction hardening process K Derouiche, S Garois, V Champaney, M Daoud, K Traidi, F Chinesta Metals 11 (5), 738, 2021 | 20 | 2021 |
| Engineering empowered by physics-based and data-driven hybrid models: A methodological overview V Champaney, F Chinesta, E Cueto International Journal of Material Forming 15 (3), 31, 2022 | 18 | 2022 |
| Multiparametric modeling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven composites MEF Idrissi, F Praud, V Champaney, F Chinesta, F Meraghni Composite Structures 302, 116228, 2022 | 16 | 2022 |
| Data completion, model correction and enrichment based on sparse identification and data assimilation D Di Lorenzo, V Champaney, C Germoso, E Cueto, F Chinesta Applied Sciences 12 (15), 7458, 2022 | 14 | 2022 |
| Learning data-driven reduced elastic and inelastic models of spot-welded patches A Reille, V Champaney, F Daim, Y Tourbier, N Hascoet, D Gonzalez, ... Mechanics & Industry 22, 32, 2021 | 14 | 2021 |
| Regularized regressions for parametric models based on separated representations A Sancarlos, V Champaney, E Cueto, F Chinesta Advanced Modeling and Simulation in Engineering Sciences 10 (1), 4, 2023 | 9 | 2023 |
| A parametric metamodel of the vehicle frontal structure accounting for material properties and strain-rate effect: application to full frontal rigid barrier crash test A Pasquale, V Champaney, Y Kim, N Hascoët, A Ammar, F Chinesta Heliyon 8 (12), 2022 | 8 | 2022 |
| Hybrid twins based on optimal transport S Torregrosa, V Champaney, A Ammar, V Herbert, F Chinesta Computers & Mathematics with Applications 127, 12-24, 2022 | 8 | 2022 |
| Towards a hybrid twin for infrastructure asset management: Investigation on power transformer asset maintenance management X Kestelyn, G Denis, V Champaney, N Hascoet, C Ghnatios, F Chinesta 2022 7th International Advanced Research Workshop on Transformers (ARWtr …, 2022 | 8 | 2022 |
| NURBS-based shape parametrization enabling PGD-based space separability: Methodology and application MJ Kazemzadeh-Parsi, A Pasquale, D Di Lorenzo, V Champaney, ... Finite Elements in Analysis and Design 227, 104022, 2023 | 6 | 2023 |
| Mechanical characterization of Li-ion cells and the calibration of numerical models using proper generalized decomposition A Schmid, A Pasquale, C Ellersdorfer, M Raffler, V Champaney, M Ziane, ... ASME International Mechanical Engineering Congress and Exposition 87646 …, 2023 | 6 | 2023 |
| Learning data-driven stable corrections of dynamical systems—application to the simulation of the top-oil temperature evolution of a power transformer C Ghnatios, X Kestelyn, G Denis, V Champaney, F Chinesta Energies 16 (15), 5790, 2023 | 6 | 2023 |
| Modeling systems from partial observations V Champaney, VJ Amores, S Garois, L Irastorza-Valera, C Ghnatios, ... Frontiers in Materials 9, 970970, 2022 | 6 | 2022 |
| A regularized real-time integrator for data-driven control of heating channels C Ghnatios, V Champaney, A Pasquale, F Chinesta Computation 10 (10), 176, 2022 | 6 | 2022 |
| Optimal velocity planning based on the solution of the Euler-Lagrange equations with a neural network based velocity regression C Ghnatios, D Di Lorenzo, V Champaney, E Cueto, F CHINESTA SORIA American Institute of Mathematical Sciences (AIMS), 2024 | 5 | 2024 |
| Parametric curves metamodelling based on data clustering, data alignment, POD-based modes extraction and PGD-based nonlinear regressions V Champaney, A Pasquale, A Ammar, F Chinesta Frontiers in Materials 9, 904707, 2022 | 5 | 2022 |
| Polymer extrusion die design using a data-driven autoencoders technique C Ghnatios, E Gravot, V Champaney, N Verdon, N Hascoët, F Chinesta International Journal of Material Forming 17 (1), 4, 2024 | 4 | 2024 |
Francisco (Paco) ChinestaArts et Metiers Paris / CNRS@CREATE Singapore / ESI, RTE, SKF CHAIRS / Spanish Royal Acad. EngrgPotvrđena adresa e-pošte na ensam.eu