A team led by Prof. Wu Zhongqing from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has predicted the thermal conductivity of bridgmanite and post-perovskite at high pressure and temperature using machine learning potential (MLP), and clarified the distribution of heat flow and the magnitude of heat flux at the core-mantle boundary (CMB).
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Source: Phys.org