Liu Shuai-Jun, Lei Zhen-Shuai, Chen Meng-Ru, Song Ting, Liu Zi-Jiang, Sun Xiao-Wei
School of Mathematics and Physics, Lanzhou Jiaotong University, Lanzhou 730070, China.
College of Science, Wuhan University of Technology, Wuhan 430079, China.
J Phys Chem A. 2024 Oct 31;128(43):9476-9485. doi: 10.1021/acs.jpca.4c03074. Epub 2024 Oct 18.
Melting in the deep rocky parts of planets plays an important role in geological processes such as planet formation, seismicity, magnetic field generation, thermal convection, and crustal evolution. Such processes are the key way to understanding the dynamics of planetary interiors and the history as well as mechanisms of planetary evolution. We herein investigate the melting curves and pressure-temperature (-)-phase diagrams for CaO, a candidate mineral for the lower mantle, by means of the deep learning potential model. Using first-principles, molecular dynamics, and quasi-harmonic approximation, the reliability of the deep learning potential model is verified by calculating the high-temperature and high-pressure equations of state and phase transition pressures for the orthorhombic and tetragonal structures of CaO described by space groups 2 and 4̅2, respectively. The melting temperatures of 975, 850, and 755 K at zero pressure are obtained by the single-phase, void, and two-phase methods, respectively, and their melting temperatures are analyzed by the radial distribution function and mean-square displacement to analyze the melting process. Finally, the melting phase diagrams of CaO at 0-135 GPa were obtained by the two-phase method.
行星深部岩石部分的熔融在行星形成、地震活动、磁场产生、热对流和地壳演化等地质过程中起着重要作用。这些过程是理解行星内部动力学以及行星演化历史和机制的关键途径。我们在此借助深度学习势模型研究了下地幔候选矿物CaO的熔化曲线和压力 - 温度(P - T)相图。利用第一性原理、分子动力学和准谐近似,通过分别计算空间群2和4̅2描述的CaO正交和四方结构的高温高压状态方程以及相变压力,验证了深度学习势模型的可靠性。分别采用单相、空穴和两相方法获得了零压力下975、850和755 K的熔化温度,并通过径向分布函数和均方位移分析其熔化过程来分析熔化过程。最后,通过两相法获得了0 - 135 GPa下CaO的熔化相图。