Molecular dynamics and first-principles investigation of tribological behaviors of black phosphorus-coated substrates

IF 3.3 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Computational Materials Science Pub Date : 2025-04-03 DOI:10.1016/j.commatsci.2025.113872
Mingjie Pu, Rui Hu, Lin Liu
{"title":"Molecular dynamics and first-principles investigation of tribological behaviors of black phosphorus-coated substrates","authors":"Mingjie Pu,&nbsp;Rui Hu,&nbsp;Lin Liu","doi":"10.1016/j.commatsci.2025.113872","DOIUrl":null,"url":null,"abstract":"<div><div>Utilizing two-dimensional black phosphorene (BP) as a solid lubricant for improving the tribological properties of substrate materials is a promising way. Here, the tribological behaviors of BP-coated substrates have been investigated by molecular dynamics simulations and relevant mechanisms are also explored through first-principles calculations. Compared with Si, Cu and Ni substrates, non-metallic C substrate exhibits the lowest coefficient of friction (COF) due to low energy barriers of potential energy surfaces. In addition, increasing the scratch depth and number of BP layers can decrease the COF effectively, which are mainly attributed to the enhancing of charge transfer and stacking effect of atoms. This study provides a possible method of using two-dimensional materials as solid lubricants to improve the tribological performances of mechanical components.</div></div>","PeriodicalId":10650,"journal":{"name":"Computational Materials Science","volume":"253 ","pages":"Article 113872"},"PeriodicalIF":3.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927025625002150","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Utilizing two-dimensional black phosphorene (BP) as a solid lubricant for improving the tribological properties of substrate materials is a promising way. Here, the tribological behaviors of BP-coated substrates have been investigated by molecular dynamics simulations and relevant mechanisms are also explored through first-principles calculations. Compared with Si, Cu and Ni substrates, non-metallic C substrate exhibits the lowest coefficient of friction (COF) due to low energy barriers of potential energy surfaces. In addition, increasing the scratch depth and number of BP layers can decrease the COF effectively, which are mainly attributed to the enhancing of charge transfer and stacking effect of atoms. This study provides a possible method of using two-dimensional materials as solid lubricants to improve the tribological performances of mechanical components.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
黑磷涂层基板摩擦学行为的分子动力学和第一性原理研究
利用二维黑磷烯作为固体润滑剂来改善衬底材料的摩擦学性能是一种很有前途的方法。本文通过分子动力学模拟研究了bp涂层基底的摩擦学行为,并通过第一性原理计算探讨了相关机理。与Si、Cu和Ni衬底相比,非金属C衬底的摩擦系数(COF)最低,这是由于势能表面的能垒较低。此外,增加划痕深度和BP层数可以有效降低COF,这主要是由于原子的电荷转移和堆积效应的增强。本研究提供了一种利用二维材料作为固体润滑剂来改善机械部件摩擦学性能的可能方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
期刊最新文献
Editorial Board ReaxFF parameter optimization for β-Ga₂O₃ MD simulations using Gaussian process Bayesian optimization Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics Deep learning interatomic potential for metal-doped silicon carbide nanotubes: Development, validation, and mechanical response Mechanisms of multiple V-doping in tuning mechanical and hydrogen storage properties of ZrCo alloys
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1