Online learning to accelerate nonlinear PDE solvers: Applied to multiphase porous media flow

We propose a novel type of nonlinear solver acceleration for systems of nonlinear partial differential equations (PDEs) that is based on online/adaptive learning. It is applied in the context of multiphase flow in porous media. The proposed method rely on four pillars: (i) dimensionless numbers as i...

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Bibliographic Details
Main Authors: Vinicius L.S. Silva, Pablo Salinas, Claire E. Heaney, Matthew D. Jackson, Christopher C. Pain
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544125000425
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