Deep learning-based thermal modeling of slipping velocity in oblique magnetohydrodynamic non-Newtonian nanofluid flows
In recent years, artificial neural networks (ANNs) have emerged as reliable and efficient computational tools for solving highly nonlinear and complex mathematical models in fluid dynamics. Motivated by the limitations in existing studies on nanofluid flows under magnetic influence, this work invest...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/123258/1/123258.pdf http://psasir.upm.edu.my/id/eprint/123258/ https://www.sciencedirect.com/science/article/pii/S2590123025026672 |
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