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authFullName_s : Beatriz Moya
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Physically sound, self-learning digital twins for sloshing fluids

Beatriz Moya , Iciar Alfaro , David Gonzalez , Francisco Chinesta , Elías Cueto
PLoS ONE, 2020, 15 (6), pp.1-15. ⟨10.1371/journal.pone.0234569⟩
Journal articles hal-02885379v1
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Physics Perception in Sloshing Scenes With Guaranteed Thermodynamic Consistency

Beatriz Moya , Alberto Badias , David Gonzalez , Francisco Chinesta , Elias Cueto
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (2), pp.2136-2150. ⟨10.1109/TPAMI.2022.3160100⟩
Journal articles hal-04094265v1
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Digital twins that learn and correct themselves

Beatriz Moya , Alberto Badías , Icíar Alfaro , Francisco Chinesta , Elías Cueto
International Journal for Numerical Methods in Engineering, 2022, 123 (13), pp.3034-3044. ⟨10.1002/nme.6535⟩
Journal articles hal-03709235v1
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A thermodynamics-informed active learning approach to perception and reasoning about fluids

Beatriz Moya , Alberto Badías , David González , Francisco Chinesta , Elías Cueto
Computational Mechanics, 2023, ⟨10.1007/s00466-023-02279-x⟩
Journal articles hal-04086391v1