Precise forecasting of shear stress, viscosity, and density for an aqueous CuO/CaCO<sub>3</sub>/SiO<sub>2</sub> ternary hybrid nanofluid utilizing the artificial neural network.

Sci Rep · 2025 · PMC12722741 · PMID 41276583

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a decreasing trendno p-value reported

There was a decreasing trend in error, indicating that the ANN successfully captured the nonlinear relationship between the input parameters and τ by adjusting its weights to minimize prediction errors.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

Precise forecasting of shear stress, viscosity, and density for an aqueous CuO/CaCO&lt;sub&gt;3&lt;/sub&gt;/SiO&lt;sub&gt;2&lt;/sub&gt; ternary hybrid nanofluid utilizing the artificial neural network.

The sentences

Precise forecasting of shear stress, viscosity, and density for an aqueous CuO/CaCO<sub>3</sub>/SiO<sub>2</sub> ternary hybrid nanofluid utilizing the artificial neural network.