English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Using an artificial neural-network machine learning interatomic potential, wehave performed molecular dynamics simulations to study the structure anddynamics of Fe90Si3O7 liquid close to the Earth's liquid core conditions. Thesimulation results reveal that the short-range structural order (SRO) in theFe90Si3O7 liquid is very strong. About 80% of the atoms are arranged incrystalline-like SRO motifs. In particular, ~70% of Fe-centered clusters can beclassified as either hexagonal-close-pack (HCP/HCP-like) or icosahedral(ICO/ICO-like) SRO motifs. The SRO clusters centered on Fe, Si, or O atoms arestrongly intermixed and homogenously distributed throughout the liquid. Theatomic structure of the liquid and the fractions of dominant SRO clusters arenot sensitive to pressure/temperature used in the simulations except that theSRO of the O-centered clusters is enhanced close to inner core pressures. The Odiffusion coefficient is about 2-3 times larger than the Fe and Si ions andincreases more rapidly in the deeper core regions.

Structure and dynamics of Fe90Si3O7 liquids close to Earth's liquid core conditions