Modeling nanofluid viscosity: comparing models and optimizing feature selection—a novel approach
Abstract Background The accurate prediction of viscosity in nanofluids is essential for comprehending their flow behavior and enhancing their effectiveness in different industries. This research delves into modeling the viscosity of nanofluids and assessing various models through cross-validation te...
Збережено в:
| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2023-09-01
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| Серія: | Bulletin of the National Research Centre |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s42269-023-01114-w |
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