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Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Fuente: arXiv

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Bibliographic Details
Main Authors:	Alkin, Benedikt, Fürst, Andreas, Schmid, Simon, Gruber, Lukas, Holzleitner, Markus, Brandstetter, Johannes
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Fluid Dynamics
Online Access:	Acceder al recurso
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