Cao, Xuyan (2024): Data underlying the research of Kinetic and thermodynamic transition pathways of silica by machine learning: implication for meteorite impacts. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c881f6f4-3217-439e-8331-026bce99e9f7.v1

x choose version: version 2 - 2024-03-08 (latest)

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Categories

• Physical Chemistry (incl. Structural)
• Earth Sciences
• Physical Sciences
• Chemical Sciences

Keywords

meteorites mineral phase transition SiO2 transition kinetics

Licence

CC BY-NC-ND 4.0

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by Xuyan Cao

We construct the potential energy surface of silica under various pressure conditions using machine learning potential and have refined three unique pressure windows, either kinetically or thermodynamically favored, to stabilize seifertite, which reached an agreement with observations in meteorites.

History

• 2024-01-10 first online, published, posted

Publisher

4TU.ResearchData

Format

gzipped shape files

Organizations

Center for High Pressure Science & Technology Advanced Research, Collaborative Research for Earth and Applied Materials (CREAM), Beijing, China