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David González
David González
Professor, Universidad de Zaragoza, AMB Applied Mechanics and BioEngineering
Verified email at unizar.es - Homepage
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Cited by
Cited by
Year
PGD-Based Computational Vademecum for Efficient Design, Optimization and Control
F Chinesta, A Leygue, F Bordeu, JV Aguado, E Cueto, D González, ...
Archives of Computational methods in Engineering 20, 31-59, 2013
3852013
A manifold learning approach to data-driven computational elasticity and inelasticity
R Ibanez, E Abisset-Chavanne, JV Aguado, D Gonzalez, E Cueto, ...
Archives of Computational Methods in Engineering 25, 47-57, 2018
2232018
Recent advances on the use of separated representations
D González, A Ammar, F Chinesta, E Cueto
International Journal for Numerical Methods in Engineering 81 (5), 637-659, 2010
1642010
Numerically explicit potentials for the homogenization of nonlinear elastic heterogeneous materials
J Yvonnet, D Gonzalez, QC He
Computer Methods in Applied Mechanics and Engineering 198 (33-36), 2723-2737, 2009
1552009
Real‐time simulation of biological soft tissues: a PGD approach
S Niroomandi, D González, I Alfaro, F Bordeu, A Leygue, E Cueto, ...
International journal for numerical methods in biomedical engineering 29 (5 …, 2013
1152013
Thermodynamically consistent data-driven computational mechanics
D González, F Chinesta, E Cueto
Continuum Mechanics and Thermodynamics 31, 239-253, 2019
1012019
A multidimensional data-driven sparse identification technique: the sparse proper generalized decomposition
R Ibáñez, E Abisset-Chavanne, A Ammar, D González, E Cueto, A Huerta, ...
Complexity 2018, 2018
962018
Non incremental strategies based on separated representations: applications in computational rheology
A Ammar, M Normandin, F Daim, D Gonzalez, E Cueto, F Chinesta
942010
Hybrid constitutive modeling: data-driven learning of corrections to plasticity models
R Ibáñez, E Abisset-Chavanne, D González, JL Duval, E Cueto, ...
International Journal of Material Forming 12, 717-725, 2019
922019
Real‐time simulation of surgery by reduced‐order modeling and X‐FEM techniques
S Niroomandi, I Alfaro, D Gonzalez, E Cueto, F Chinesta
International journal for numerical methods in biomedical engineering 28 (5 …, 2012
892012
Proper generalized decomposition based dynamic data driven inverse identification
D González, F Masson, F Poulhaon, A Leygue, E Cueto, F Chinesta
Mathematics and Computers in Simulation 82 (9), 1677-1695, 2012
862012
Numerical integration in natural neighbour Galerkin methods
D Gonzalez, E Cueto, MA Martinez, M Doblaré
International journal for numerical methods in engineering 60 (12), 2077-2104, 2004
812004
Learning corrections for hyperelastic models from data
D González, F Chinesta, E Cueto
Frontiers in Materials 6, 14, 2019
792019
Deep learning of thermodynamics-aware reduced-order models from data
Q Hernandez, A Badias, D Gonzalez, F Chinesta, E Cueto
Computer Methods in Applied Mechanics and Engineering 379, 113763, 2021
752021
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
742018
A natural element updated Lagrangian strategy for free-surface fluid dynamics
D González, E Cueto, F Chinesta, M Doblaré
Journal of computational physics 223 (1), 127-150, 2007
722007
Structure-preserving neural networks
Q Hernández, A Badías, D González, F Chinesta, E Cueto
Journal of Computational Physics 426, 109950, 2021
702021
Proper generalized decompositions: an introduction to computer implementation with Matlab
E Cueto, D González, I Alfaro
Springer, 2016
662016
Model order reduction in hyperelasticity: a proper generalized decomposition approach
S Niroomandi, I Alfaro, D González, E Cueto, F Chinesta
International Journal for Numerical Methods in Engineering 96 (3), 129-149, 2013
612013
GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles
A Paigwar, Ö Erkent, D Sierra-Gonzalez, C Laugier
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
602020
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