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Neural-network force field backed nested sampling: Study of the silicon p−T phase diagram

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 20 Dec 2023Embargo end date: 01 Aug 2023 Spain English Publisher:American Physical Society (APS)Journal:Physical Review Materials, volume 7 (eissn: 2475-9953, Copyright policy )Funded by:UKRI | Novel computational route...
Authors: Unglert, Nico; Carrete, Jesús; Bartók-Pártay, Livia; Madsen, Georg Kent Hellerup;

doi: 10.1103/physrevmaterials.7.123804 , 10.5281/zenodo.8143151 , 10.48550/arxiv.2308.11426 , 10.5281/zenodo.8143152

arXiv: 2308.11426

handle: 10261/343491

Neural-network force field backed nested sampling: Study of the silicon p−T phase diagram

Abstract

Energy and sample trajectories for all nested sampling runs presented in the paper "Neural-Network Force Field Backed Nested Sampling: Study of the Silicon p − T Phase Diagram".

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Condensed Matter - Materials Science, Statistical Mechanics (cond-mat.stat-mech), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, 530, Condensed Matter - Statistical Mechanics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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