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Can Transformers overcome the lack of data in the simulation of history-dependent flows?

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Bibliographic Details
Main Authors:	Urdeitx, P., Alfaro, I., Gonzalez, D., Chinesta, F., Cueto, E.
Format:	Preprint
Published:	2025
Subjects:	Fluid Dynamics Machine Learning 68T07(Primary) 37M05, 80A17 (Secondary) I.2.6; I.6.0
Online Access:	Acceder al recurso
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