Atomistic structure and anomalous heat capacity of low-density liquid carbon: Molecular dynamics study with machine learning potential-Reference-Cited by-同舟云学术

Atomistic structure and anomalous heat capacity of low-density liquid carbon: Molecular dynamics study with machine learning potential

Published:2022-06 Issue: Volume:192 Page:179-186
ISSN:0008-6223
Container-title:Carbon
language:en
Short-container-title:Carbon

Author:

Orekhov Nikita^ORCID,Logunov Mikhail^ORCID

Publisher

Elsevier BV

Subject

General Chemistry,General Materials Science

Reference77 articles.

1. Detonation synthesis of carbon nano-onions via liquid carbon condensation;Bagge-Hansen;Nat. Commun.,2019

2. Ultrafast shock synthesis of nanocarbon from a liquid precursor;Armstrong;Nat. Commun.,2020

3. Measurements of the melting point of graphite and the properties of liquid carbon (a review for 1963–2003);Savvatimskiy;Carbon,2005

4. Über eine methode zur schmelzpunktbestimmung an hochschmelzenden metallen;Pirani;Zeitschrift für Elektrochemie und angewandte physikalische Chemie,1923

5. Phase diagram of carbon in the vicinity of the solid-liquid-vapor triple point;Asinovskij;Teplofiz. Vysok. Temp.,1997

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