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Thermal stability of monolayer fullerene networks: A molecular dynamics study with machine-learning potential
被引:0
|作者:
Alekseev, Daniil
[1
]
Logunov, Mikhail
[1
,2
]
Lazarev, Mikhail
[2
]
Zhukov, Sergey
[1
]
Orekhov, Nikita
[1
]
机构:
[1] Moscow Ctr Adv Studies, 20, Kulakova Str, Moscow, Russia
[2] HSE Univ, Myasnitskaya Ulitsa 20, Moscow 101000, Russia
基金:
俄罗斯科学基金会;
关键词:
Carbon;
Molecular dynamics;
Fullerene;
High temperature;
Phase transitions;
GRAPHENE;
D O I:
10.1016/j.commatsci.2024.113572
中图分类号:
T [工业技术];
学科分类号:
08 ;
摘要:
Two-dimensional C 60 carbon allotropes have gained much attention since their first synthesis in 2022, but many of their thermophysical and mechanical properties remain unreported in the literature. In this article, we performed a high-temperature molecular dynamics study of quasi-hexagonal (qHP) and quasi-tetragonal (qTP) C 60 phases using the modern machine-learning interatomic potential GAP-20. We show that, contrary to previous calculations, at T> 1200 K, both phases are unstable and decompose into individual C 60 molecules. A low bending modulus indicates the possibility of nanoripple excitation at high temperatures, similar to those in graphene. We also demonstrate the crucial role of interatomic potential verification for MD analysis of previously unexplored carbon allotropes.
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页数:6
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