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Primordial hydrogen partitioning at Earth's core-mantle boundary:Multicomponent effects revealed by machine learning-augmented first-principles simulations

ZePing Jiang YuYang He ZhiGang Zhang

地球与行星物理（英文）2025，Vol.9Issue(5)：1001-1009,9.

地球与行星物理（英文）2025，Vol.9Issue(5)：1001-1009,9.DOI:10.26464/epp2025055

Primordial hydrogen partitioning at Earth's core-mantle boundary:Multicomponent effects revealed by machine learning-augmented first-principles simulations

ZePing Jiang ¹YuYang He ¹ZhiGang Zhang¹

作者信息

1. Key Laboratory of Planetary Science and Frontier Technology,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China||College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100029,China
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摘要

关键词

partition coefficient/hydrogen/core-mantle differentiation/light elements/machine learning/density functional theory

Key words

partition coefficient/hydrogen/core-mantle differentiation/light elements/machine learning/density functional theory

引用本文复制引用

ZePing Jiang,YuYang He,ZhiGang Zhang..Primordial hydrogen partitioning at Earth's core-mantle boundary:Multicomponent effects revealed by machine learning-augmented first-principles simulations[J].地球与行星物理（英文）,2025,9(5):1001-1009,9.

基金项目

This work was supported by the National Key R&D Program of China(Grant No.2022YFF0503203),National Natural Science Foundation of China(NSFC)projects(Grant Nos.42441826 and 42173041),and the Key Research Program of the Institute of Geol-ogy and Geophysics,Chinese Academy of Sciences(Grant No.IGGCAS-202204).Simulations were carried out at the computa-tional facilities of the Computer Simulation Laboratory at IGGCAS and the Beijing Super Cloud Computing Center(BSCC). （Grant No.2022YFF0503203）

地球与行星物理（英文）

ISSN：2096-3955

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