15 citations · 59 across the 6 of their papers we have counts for
4 papers · 1 filter
Elasticity and acoustic velocities of -AlOOH at extreme conditions: a methodology assessment
Chenxing Luo, Yang Sun, Renata Wentzcovitch
Hydrous phases play a fundamental role in the deep-water cycle on Earth. Understanding their stability and thermoelastic properties is essential for constraining their abundance us…
Melting Temperature of Iron Under the Earth's Inner Core Condition from Deep Machine Learning
Fulun Wu, Cai-Zhuang Wang, Kai-Ming Ho +3
Constraining the melting temperature of iron under Earth's inner core conditions is crucial for understanding core dynamics and planetary evolution. Here, we develop a deep potenti…
Theoretical lower limit of coercive field in ferroelectric hafnia
Jiyuan Yang, Jing Wu, Jingxuan Li +4
The high coercive field () of hafnia-based ferroelectrics presents a major obstacle to their applications. The ferroelectric switching mechanisms in hafnia that dictate ,…
Deep-learning-based prediction of the tetragonalcubic transition in davemaoite
Fulun Wu, Yang Sun, Tianqi Wan +2
Davemaoite, i.e., perovskite (CaPv), is the third most abundant phase in the lower mantle and exhibits a tetragonal-cubic phase transition at high pressures and temperatu…