Investigating the impact of temperature on hydrous magnesium silicate Phase D using deep-learning-driven interatomic potentials

The study of hydrogen bonding symmetry in lower mantle water-bearing minerals is scientifically critical for understanding the water cycle in the deep Earth, the stability and physical properties of minerals, and the electrical conductivity structure of the Earth's interior. We report classical molecular dynamics simulations of Phase D $({\mathrm{MgSi}}_{2}{\mathrm{O}}_{6}{\mathrm{H}}_{2})$, a dense hydrous magnesium silicate, using a deep-learning-optimized interatomic potential, demonstrating spontaneous hydrogen bonding symmetrization emergence at 33.7 GPa under hydrostatic compression. Additionally, within a specific pressure-temperature range, we observed abnormal phenomena in bulk modulus and lattice constant ratio. Further analysis indicates that these anomalies are actually caused by the phase transition from asymmetric hydrogen-bonded state 1 (AHB1) to AHB2 and the proton-disordering transition, decoupled from hydrogen bonding symmetry. This study provides insight into the structure and dynamics of the Earth's interior, as well as the distribution and occurrence state of hydrogen within the Earth.

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Publication Details

Journal
Physical review. B./Physical review. B
Published
2025-05-27
DOI
https://doi.org/10.1103/physrevb.111.184109
Citations
1
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.52

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article

Investigating the impact of temperature on hydrous magnesium silicate Phase D using deep-learning-driven interatomic potentials

Zi‐Jiang Liu, Xiao Wei Sun, Xin-Xuan Wang, Lulu Wei et al.
1 citations
Physical review. B./Physical review. B
Machine Learning in Materials Science
0.52
article

Investigating the impact of temperature on hydrous magnesium silicate Phase D using deep-learning-driven interatomic potentials

Zi‐Jiang Liu, Xiao Wei Sun, Xin-Xuan Wang, Lulu Wei, Ting Song, Jun-Li Cao
article en
1 citations

Abstract

The study of hydrogen bonding symmetry in lower mantle water-bearing minerals is scientifically critical for understanding the water cycle in the deep Earth, the stability and physical properties of minerals, and the electrical conductivity structure of the Earth's interior. We report classical molecular dynamics simulations of Phase D $({\mathrm{MgSi}}_{2}{\mathrm{O}}_{6}{\mathrm{H}}_{2})$, a dense hydrous magnesium silicate, using a deep-learning-optimized interatomic potential, demonstrating spontaneous hydrogen bonding symmetrization emergence at 33.7 GPa under hydrostatic compression. Additionally, within a specific pressure-temperature range, we observed abnormal phenomena in bulk modulus and lattice constant ratio. Further analysis indicates that these anomalies are actually caused by the phase transition from asymmetric hydrogen-bonded state 1 (AHB1) to AHB2 and the proton-disordering transition, decoupled from hydrogen bonding symmetry. This study provides insight into the structure and dynamics of the Earth's interior, as well as the distribution and occurrence state of hydrogen within the Earth.

Physical review. B./Physical review. BVol. 111(18)
Wuhan University of Technology (CN), Lanzhou Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 38%
Machine Learning in Materials Science
0.52
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Investigating the impact of temperature on hydrous magnesium silicate Phase D using deep-learning-driven interatomic potentials — Zi‐Jiang Liu, Xiao Wei Sun, et al. · Physical review. B./Physical review. B (2025) | TGRS Research Map | TGRS