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ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Chen, Wenqian, Fu, Yucheng, Penwarden, Michael, Roy, Pratanu, Stinis, Panos
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Chemical Physics Computational Physics Fluid Dynamics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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