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Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Špetlík, Martin, Březina, Jan, Laloy, Eric
Formato:	Preprint
Publicado:	2024
Materias:	Analysis of PDEs Numerical Analysis
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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