Accelerating fluid flow simulations through doubly porous media using a FEM-assisted machine learning approach
This paper introduces an innovative methodology for simulating fluid flow through doubly porous media. This technique combines finite element (FE) simulations and machine learning (ML) methods. The approach involves training ML models with a dataset of FE simulation outcomes, enabling predictions of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Results in Physics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221137972300829X |