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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Hydrogen exhibits unusual behaviors at megabar pressures, with consequencesfor planetary science, condensed matter physics and materials science.Experiments at such extreme conditions are challenging, often resulting inhard-to-interpret and controversial observations. We present a theoreticalstudy of the phase diagram of dense hydrogen, using machine learning toovercome time and length scale limitations while describing accuratelyinteratomic forces. We reproduce the re-entrant melting behavior and thepolymorphism of the solid phase. In simulations based on the machine learningpotential we find evidence for continuous metallization in the liquid, as afirst-order liquid-liquid transition is pre-empted by freezing. This suggests asmooth transition between insulating and metallic layers in giant gas planets,and reconciles existing discrepancies between experiments as a manifestation ofsupercritical behavior.

Evidence for supercritical behavior of high-pressure liquid hydrogen