Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach - researchr publication

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Xiaohong Dai, Hamid Taheri Andani, As'ad Alizadeh, Azher M. Abed, Ghassan Fadhil Smaisim, Hamad Karem Hadrawi, Maryam Karimi, Mahmoud Shamsborhan, Davood Toghraie. Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach. Eng. Appl. of AI, 122:106107, 2023. [doi]

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