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Prediction and Optimization of the Thermal Properties of TiO2/Water Nanofluids in the Framework of a Machine Learning Approach

Jiachen Li1,2, Wenlong Deng3, Shan Qing1,2,*, Yiqin Liu4, Hao Zhang1,2, Min Zheng1,2

1 Sate Key Laboratory of Complex Nonferrous Clean Utilization, Kunming University of Science and Technology, Kunming, 650093, China
2 Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China
3 Jiangxi Guoxing Intelligent Energy Co., Ganzhou, 330300, China
4 Faculty of Media and Information Engineering, Yunnan Open University, Kunming, 650500, China

* Corresponding Author: Shan Qing. Email: email

TSP_FDMP_27299.pdf

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