Interatomic potentials for graphene reinforced metal composites: Optimal choice

石墨烯 复合材料 材料科学 原子间势 金属 分子动力学 计算化学 纳米技术 化学 冶金
作者
Liliya R. Safina,Elizaveta A. Rozhnova,Karina A. Krylova,Ramil T. Murzaev,Julia A. Baimova
出处
期刊:Computer Physics Communications [Elsevier]
卷期号:301: 109235-109235 被引量:3
标识
DOI:10.1016/j.cpc.2024.109235
摘要

Graphene reinforced metal matrix composites represent a promising class of materials for high-strength surface coatings because of their high strength and ductility. This study reports the application of different interatomic potentials to correctly describe the interaction between graphene and metals (Al, Cu, Ni, and Ti) by molecular dynamics. Both simple pair potentials, such as Lennard-Jones and Morse, and many-body potentials, such as bond order potential are applied for the simulation of a graphene/metal system at room temperature. Three different structures are considered: (i) graphene interacting with one metal atom; (ii) graphene interacting with a metal nanoparticle, and (iii) three-dimensional graphene network filled with metal nanoparticles. We first determine the potential energy that any graphene/metal system can reach during exposure at 300 K; then, we analyze the interaction dynamics for all considered systems and all potentials. A considerable difference in the interaction between metal nanoparticles with planar and folded graphene was found. For graphene/Ni, graphene/Cu, and graphene/Ti, the Lennard-Jones and Morse potentials yield accurate energetic and structural properties of the studied structures; they also describe interaction in the graphene/metal system in a similar way, at variance with bond-order potential. For graphene/Al, the Tersoff and Morse potentials describe the interaction better than Lennard-Jones. For the simulation of graphene/Me system, the optimal choice of the potential for different structures is of crucial importance. The presented analysis of the interatomic potentials appears to be promising for realistic and accurate simulations of graphene reinforced metal composites.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yyyyy应助不甜采纳,获得20
刚刚
好运来发布了新的文献求助10
刚刚
1秒前
li发布了新的文献求助10
1秒前
hkf发布了新的文献求助10
1秒前
香蕉觅云应助董飞采纳,获得10
2秒前
量子星尘发布了新的文献求助10
2秒前
852应助Bobonice采纳,获得10
2秒前
3秒前
思源应助水木年华采纳,获得10
3秒前
4秒前
不二完成签到,获得积分10
4秒前
123zym完成签到,获得积分10
4秒前
bkagyin应助sxpab采纳,获得10
4秒前
zhenzhe完成签到,获得积分10
4秒前
4秒前
脑洞疼应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
谈笑间应助科研通管家采纳,获得10
5秒前
Owen应助科研通管家采纳,获得10
5秒前
5秒前
深情安青应助科研通管家采纳,获得10
5秒前
5秒前
丘比特应助科研通管家采纳,获得10
5秒前
sfgggfds应助科研通管家采纳,获得10
5秒前
李1应助科研通管家采纳,获得10
5秒前
在水一方应助科研通管家采纳,获得10
5秒前
JamesPei应助科研通管家采纳,获得10
5秒前
ding应助科研通管家采纳,获得10
5秒前
细心的丹寒关注了科研通微信公众号
5秒前
6秒前
6秒前
CipherSage应助科研通管家采纳,获得10
6秒前
无花果应助科研通管家采纳,获得10
6秒前
Owen应助科研通管家采纳,获得10
6秒前
6秒前
大模型应助科研通管家采纳,获得10
6秒前
小神完成签到,获得积分10
6秒前
sfgggfds应助科研通管家采纳,获得10
6秒前
爆米花应助科研通管家采纳,获得10
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Iron‐Sulfur Clusters: Biogenesis and Biochemistry 400
Healable Polymer Systems: Fundamentals, Synthesis and Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6069912
求助须知:如何正确求助?哪些是违规求助? 7901770
关于积分的说明 16335059
捐赠科研通 5210839
什么是DOI,文献DOI怎么找? 2787111
邀请新用户注册赠送积分活动 1769917
关于科研通互助平台的介绍 1648020