Deep‐Learning‐Based Prediction of the Tetragonal → Cubic Transition in Davemaoite

Author:

Wu Fulun1,Sun Yang12ORCID,Wan Tianqi2,Wu Shunqing1ORCID,Wentzcovitch Renata M.23456ORCID

Affiliation:

1. Department of Physics Xiamen University Xiamen China

2. Department of Applied Physics and Applied Mathematics Columbia University New York NY USA

3. Department of Earth and Environmental Sciences Columbia University New York NY USA

4. Lamont–Doherty Earth Observatory Columbia University Palisades NY USA

5. Data Science Institute Columbia University New York NY USA

6. Center for Computational Quantum Physics Flatiron Institute New York NY USA

Abstract

AbstractDavemaoite, that is, CaSiO3 perovskite (CaPv), is the third most abundant phase in the lower mantle and exhibits a tetragonal‐cubic phase transition at high pressures and temperatures. The phase boundary in CaPv has recently been proposed to be close to the cold slab adiabat and cause mid‐mantle seismic wave speed anomalies (Thomson et al., 2019, https://doi.org/10.1038/s41586‐019‐1483‐x). This study utilized accurate deep‐learning‐based simulations and thermodynamic integration techniques to compute free energies at temperatures ranging from 300 to 3,000 K and pressures up to 130 GPa. Our results indicate that CaPv exhibits a single cubic phase throughout lower‐mantle conditions. This suggests that the phase diagram proposed by Thomson et al. requires revision, and mid‐mantle seismic anomalies are likely attributable to other mechanisms.

Funder

National Natural Science Foundation of China

Division of Earth Sciences

Xiamen University

Columbia University

Iowa State University

Publisher

American Geophysical Union (AGU)

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