David González

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h-index	32	25
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Elias CuetoProfessor, Aragon Inst. of Engng. Research. Universidad de Zaragoza.Verified email at unizar.es
Francisco (Paco) ChinestaArts et Metiers Paris / CNRS@CREATE Singapore / ESI, RTE, SKF CHAIRS / Spanish Royal Acad. EngrgVerified email at ensam.eu
Icíar AlfaroUniversidad de ZaragozaVerified email at unizar.es
Manuel DoblareUniversity of ZaragozaVerified email at unizar.es
Alberto BadíasETSIAE, Universidad Politécnica de MadridVerified email at upm.es
Adrien LeygueResearcher, CNRS, Ecole Centrale NantesVerified email at ec-nantes.fr
Amine AmmarProfesseur des universités, Arts et Métiers ParisTech Angers Verified email at ensam.eu
Antonio HuertaProfessor, Universitat Politecnica de Catalunya (UPC)Verified email at upc.edu
Jose V. AguadoAssociate professor at Institut de Recherche en Génie Civil et Mécanique, Ecole Centrale de NantesVerified email at ec-nantes.fr
Felipe Bordeu WeldtResearcher Engineer - Safran SaVerified email at safrangroup.com
Emmanuelle Abisset-ChavanneProfessor, EnsamVerified email at ensam.eu
Beatriz MoyaResearch fellow, CNRS@CREATEVerified email at cnrsatcreate.sg
Carlos QuesadaLecturer & Researcher at University of DeustoVerified email at deusto.es
Siamak NiroomandiPhD in Mechanical engineering, Computational MechanicsVerified email at univ-grenoble-alpes.fr
Pedro DiezProfessor, Universitat Politècnica de Catalunya (UPC BarcelonaTech), Affiliated Scientist at CIMNEVerified email at upc.edu
Quercus HernándezPostdoc Researcher, University of PennsylvaniaVerified email at seas.upenn.edu
Julien YVONNETGustave Eiffel UniversityVerified email at univ-eiffel.fr
Miguel Angel MartínezUniversidad de ZaragozaVerified email at unizar.es
Sergio ZlotnikUniversitat Politècnica de Catalunya, BarcelonaTechVerified email at upc.es
Chady GhnatiosUniversity of North FloridaVerified email at unf.edu

David González

Professor, Universidad de Zaragoza, AMB Applied Mechanics and BioEngineering

Verified email at unizar.es - Homepage

Data-Driven Computational Mechanics - M.O.R. - Real-Time simulation - PGD - Scientific Machine Learning


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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	398	2013
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	239	2018
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	172	2010
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	162	2009
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	120	2013
Thermodynamically consistent data-driven computational mechanics D González, F Chinesta, E Cueto Continuum Mechanics and Thermodynamics 31, 239-253, 2019	114	2019
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 (1), 5608286, 2018	100	2018
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	97	2019
Non incremental strategies based on separated representations: applications in computational rheology A Ammar, M Normandin, F Daim, D Gonzalez, E Cueto, F Chinesta	97	2010
Structure-preserving neural networks Q Hernández, A Badías, D González, F Chinesta, E Cueto Journal of Computational Physics 426, 109950, 2021	89	2021
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	89	2012
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	88	2021
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	87	2012
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	83	2004
Learning corrections for hyperelastic models from data D González, F Chinesta, E Cueto Frontiers in Materials 6, 14, 2019	82	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	80	2018
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	74	2007
Proper generalized decompositions: an introduction to computer implementation with Matlab E Cueto, D González, I Alfaro Springer, 2016	67	2016
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	62	2013
Real‐time direct integration of reduced solid dynamics equations D González, E Cueto, F Chinesta International Journal for Numerical Methods in Engineering 99 (9), 633-653, 2014	61	2014

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