| Deeptof: off-the-shelf real-time correction of multipath interference in time-of-flight imaging J Marco, Q Hernandez, A Munoz, Y Dong, A Jarabo, MH Kim, X Tong, ... ACM Transactions on Graphics (ToG) 36 (6), 1-12, 2017 | 200 | 2017 |
| 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 | 62 | 2021 |
| Structure-preserving neural networks Q Hernández, A Badías, D González, F Chinesta, E Cueto Journal of Computational Physics 426, 109950, 2021 | 57 | 2021 |
| A computational model of a single-photon avalanche diode sensor for transient imaging Q Hernandez, D Gutierrez, A Jarabo arXiv preprint arXiv:1703.02635, 2017 | 30 | 2017 |
| Thermodynamics-informed graph neural networks Q Hernández, A Badías, F Chinesta, E Cueto arXiv preprint arXiv:2203.01874, 2022 | 25 | 2022 |
| Failure properties of vena cava tissue due to deep penetration during filter insertion Q Hernández, E Peña Biomechanics and modeling in mechanobiology 15, 845-856, 2016 | 14 | 2016 |
| Thermodynamics-informed neural networks for physically realistic mixed reality Q Hernández, A Badías, F Chinesta, E Cueto Computer Methods in Applied Mechanics and Engineering 407, 115912, 2023 | 5 | 2023 |
| Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems Q Hernández, A Badías, F Chinesta, E Cueto Computational Mechanics, 1-9, 2023 | 4 | 2023 |
| Simuladores físicos en realidad mixta mediante IA Q Hernández, A Badías, F Chinesta, E Cueto Jornada de Jóvenes Investigadores del I3A 11, 2023 | | 2023 |
| Thermodynamics-informed learning of interpretable models IA Ruiz, Q Hernández, AB Herbera, EC Prendes Congress on NumericalMethods in Engineering CMN 2022 (2022. Las Palmas de …, 2022 | | 2022 |
| Learning mechanics with geometry and thermodynamics Q Hernández, A Badıas, D González, F Chinesta, E Cueto Congress on NumericalMethods in Engineering CMN 2022 (2022. Las Palmas de …, 2022 | | 2022 |
| Hacia un científico digital Q Hernández, A Badías, D González, E Cueto, F Chinesta Jornada de Jóvenes Investigadores e Investigadoras del I3A 8, 2020 | | 2020 |
| Towards the simulation of complex systems: Port-Metriplectic Neural Networks A Badıas, Q Hernández, F Chinesta, E Cueto | | |
| AI-enhanced interactive simulators for virtual reality applications Q Hernández, A Badıas, F Chinesta, E Cueto | | |
| Thermodynamics-informed learning of interpretable models I Alfaro, Q Hernández, A Badıas, E Cueto | | |
| Deep learning of fluid dynamics from free surface data for full state reconstruction and correction B Moya, A Badıas, Q Hernández, D González, I Alfaro, F Chinesta, ... | | |
| Learning Physics through Themodynamically-Informed Neural Networks Q Hernández, A Badıas, D González, F Chinesta, E Cueto | | |
Elias CuetoProfessor, Aragon Inst. of Engng. Research, Universidad de Zaragoza. ORCID 0000-0003-1017-4381Verified email at unizar.es
