| Learning slosh dynamics by means of data B Moya, D González, I Alfaro, F Chinesta, E Cueto Computational Mechanics 64 (2), 511-523, 2019 | 25 | 2019 |
| Physically sound, self-learning digital twins for sloshing fluids B Moya, I Alfaro, D Gonzalez, F Chinesta, E Cueto PLoS One 15 (6), e0234569, 2020 | 14 | 2020 |
| Digital twins that learn and correct themselves B Moya, A Badías, I Alfaro, F Chinesta, E Cueto International Journal for Numerical Methods in Engineering, 2020 | 13 | 2020 |
| Learning physics from data: a thermodynamic interpretation F Chinesta, E Cueto, M Grmela, B Moya, M Pavelka, M Šípka Workshop on Joint Structures and Common Foundations of Statistical Physics …, 2020 | 8 | 2020 |
| Physics perception in sloshing scenes with guaranteed thermodynamic consistency B Moya, A Badias, D Gonzalez, F Chinesta, E Cueto arXiv preprint arXiv:2106.13301, 2021 | 1 | 2021 |
| Physics-informed Reinforcement Learning for Perception and Reasoning about Fluids B Moya, A Badias, D Gonzalez, F Chinesta, E Cueto arXiv preprint arXiv:2203.05775, 2022 | | 2022 |
| Data Learning of Fluid Dynamics for Physically Informed Digital Twins B Moya, I Alfaro, D González, F Chinesta, E Cueto Jornada de Jóvenes Investigadores del I3A 8, 2020 | | 2020 |
| Aprendizaje automatico de dinámica de fluidos mediante modelos de datos BM Garcia, D González, I Alfaro, F Chinesta, E Cueto Jornada de Jóvenes Investigadores del I3A 7, 2019 | | 2019 |
| 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, ... | | |
| Data-driven, reduced-order modelling and simulation of free-surface flows B Moya, D Gonzalez, I Alfaro, F Chinesta, E Cueto | | |
| Manifold learning of complex fluid behavior for real-time simulation B Moya, D González, I Alfaro, F Chinesta, E Cueto | | |
Francisco (Paco) ChinestaENSAM Institute of Technology / PIMM / ESI CHAIR / Spanish Royal Acad. EngrgDirección de correo verificada de ensam.eu
