| PGD-Based Computational Vademecum for Efficient Design, Optimization and Control F Chinesta, A Leygue, F Bordeu, JV Aguado, E Cueto, D Gonzalez, ... Archives of Computational Methods in Engineering 20 (1), 31-59, 2013 | 383 | 2013 |
| A manifold learning approach to data-driven computational elasticity and inelasticity R Ibañez, E Abisset-Chavanne, JV Aguado, D Gonzalez, E Cueto, ... Archives of Computational Methods in Engineering 25 (1), 47-57, 2018 | 203 | 2018 |
| Data-driven non-linear elasticity: constitutive manifold construction and problem discretization R Ibañez, D Borzacchiello, JV Aguado, E Abisset-Chavanne, E Cueto, ... Computational Mechanics 60 (5), 813-826, 2017 | 146 | 2017 |
| Real‐time monitoring of thermal processes by reduced‐order modeling JV Aguado, A Huerta, F Chinesta, E Cueto International Journal for Numerical Methods in Engineering 102 (5), 991-1017, 2015 | 74 | 2015 |
| Non-intrusive Sparse Subspace Learning for Parametrized Problems D Borzacchiello, JV Aguado, F Chinesta Archives of Computational Methods in Engineering 26 (2), 303-326, 2019 | 70 | 2019 |
| A manifold learning approach for integrated computational materials engineering E Lopez, D Gonzalez, JV Aguado, E Abisset-Chavanne, E Cueto, ... Archives of Computational Methods in Engineering 25, 59-68, 2018 | 70 | 2018 |
| Fast simulation of the pantograph–catenary dynamic interaction S Gregori, M Tur, E Nadal, JV Aguado, FJ Fuenmayor, F Chinesta Finite Elements in Analysis and Design 129, 1-13, 2017 | 56 | 2017 |
| Intelligent assistant system as a context-aware decision-making support for the workers of the future F Belkadi, MA Dhuieb, JV Aguado, F Laroche, A Bernard, F Chinesta Computers & Industrial Engineering 139, 105732, 2020 | 54 | 2020 |
| kPCA-based parametric solutions within the PGD framework D González, JV Aguado, E Cueto, E Abisset-Chavanne, F Chinesta Archives of Computational Methods in Engineering 25, 69-86, 2018 | 48 | 2018 |
| Reduced-order modeling of soft robots J Chenevier, D González, JV Aguado, F Chinesta, E Cueto PloS one 13 (2), e0192052, 2018 | 37 | 2018 |
| A 3D finite element model for predicting the fire behavior of hollow-core slabs JV Aguado, V Albero, A Espinos, A Hospitaler, ML Romero Engineering Structures 108, 12-27, 2016 | 35 | 2016 |
| Induction machine model with finite element accuracy for condition monitoring running in real time using hardware in the loop system A Sapena-Bañó, F Chinesta, M Pineda-Sanchez, JV Aguado, ... International Journal of Electrical Power & Energy Systems 111, 315-324, 2019 | 34 | 2019 |
| Efficient PGD-based dynamic calculation of non-linear soil behavior C Germoso, JV Aguado, A Fraile, E Alarcon, F Chinesta Comptes Rendus Mécanique 344 (1), 24-41, 2016 | 33 | 2016 |
| Data-Driven Computational Plasticity F Chinesta, P Ladeveze, R Ibanez, JV Aguado, E Abisset-Chavanne, ... Procedia Engineering 207, 209-214, 2017 | 30 | 2017 |
| A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes JV Aguado, D Borzacchiello, C Ghnatios, F Lebel, R Upadhyay, ... Advanced Modeling and Simulation in Engineering Sciences 4, 1-26, 2017 | 30 | 2017 |
| Influence of reinforcement arrangement in flexural fire behavior of hollow core slabs JV Aguado, A Espinos, A Hospitaler, J Ortega, ML Romero Fire Safety Journal 53, 72-84, 2012 | 24 | 2012 |
| Fire design method for concrete filled tubular columns based on equivalent concrete core cross-section C Ibañez, JV Aguado, ML Romero, A Espinos, A Hospitaler Fire Safety Journal 78, 10-23, 2015 | 23 | 2015 |
| Fire design method for concrete filled tubular columns based on equivalent concrete core cross-section C Ibañez, JV Aguado, ML Romero, A Espinos, A Hospitaler Fire Safety Journal 78, 10-23, 2015 | 23 | 2015 |
| Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks JM Hanna, JV Aguado, S Comas-Cardona, R Askri, D Borzacchiello Computer Methods in Applied Mechanics and Engineering 396, 115100, 2022 | 22 | 2022 |
| DEIM-based PGD for parametric nonlinear model order reduction JV Aguado, F Chinesta, A Leygue, E Cueto Prendes, A Huerta Adaptive Modeling and Simulation 2013, 29-34, 2013 | 20 | 2013 |
Francisco (Paco) ChinestaENSAM Institute of Technology / PIMM / ESI CHAIR / Spanish Royal Acad. EngrgDirección de correo verificada de ensam.eu
