Predicting the thermal conductivity of Bi2Te3-based thermoelectric energy materials: A machine learning approach

International Journal of Thermal Sciences - Tập 181 - Trang 107784 - 2022
T.A. Alrebdi1, Y.S. Wudil2,3, U.F. Ahmad4, F.A. Yakasai5, J. Mohammed6, F.H. Kallas1
1Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O.Box 84428, Riyadh 11671, Saudi Arabia
2Laser Research Group, Physics Department, King Fahd University of Petroleum & Minerals (KFUPM), Mailbox 5047, Dhahran 31261, Saudi Arabia
3Interdisciplinary Research Center for Construction and Building materials, King Fahd University of Petroleum & Minerals (KFUPM), Mailbox 5047, Dhahran 31261, Saudi Arabia
4Center for Renewable Energy Research, Bayero University, Kano, Nigeria
5Department of Applied Mathematics, Auburn University, Auburn, AL, United States
6Department of Physics, Faculty of Science, Federal University Dutse, P.M.B. 7156, Dutse, Jigawa State, Nigeria

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