A machine learning technique for computational analysis of EMHD ternary nanofluid with heat generation: Al2O3+CuO+TiO2/water
In order to model ternary nano fluid EMHD flow with internal heat generation, we present a machine learning approach. In this case, traditional numerical methods are often computationally difficult to apply on such complex systems. Ternary nanofluids enhance the efficiency of solar thermal systems b...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-12-01
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| coleção: | Nano Trends |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2666978125000790 |
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