Optimal, not maximum: how molecular alignment governs ice adhesion on modified aluminum surfaces

IF 6.6 2区 材料科学 Q2 CHEMISTRY, PHYSICAL
M. Ruan, X.L. Guan, Q. Sun, Y.Y. Wang, J.L. Lei, B. Li, X.J. Lu, Z.G. Hu, Q. He
{"title":"Optimal, not maximum: how molecular alignment governs ice adhesion on modified aluminum surfaces","authors":"M. Ruan, X.L. Guan, Q. Sun, Y.Y. Wang, J.L. Lei, B. Li, X.J. Lu, Z.G. Hu, Q. He","doi":"10.1016/j.apsusc.2026.168478","DOIUrl":null,"url":null,"abstract":"Superhydrophobic coatings provide great promise for anti-icing applications, yet the ice adhesion reduction molecular mechanism remains poorly understood. Experimental studies with quantum mechanical (QM) and molecular dynamics (MD) simulations are integrated to reveal the underlying mechanisms of anti-icing behavior. It is found that anti-icing performance is maximized at an optimal coverage of 25% FAS-17 modifier with vertically aligned molecular configurations disrupting hydrogen bonding between ice and surface. The ice adhesion strength is reduced by 85% compared to bare surfaces. It suggests a general design principle that high anti-icing performance arises from controlled molecular order, not maximal density. These insights provide transferable strategies of eco-friendly alternatives and guide a rational development of durable, low-ice-adhesion surfaces such as high-voltage power lines.","PeriodicalId":247,"journal":{"name":"Applied Surface Science","volume":"34 1","pages":"168478"},"PeriodicalIF":6.6000,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Surface Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.apsusc.2026.168478","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Superhydrophobic coatings provide great promise for anti-icing applications, yet the ice adhesion reduction molecular mechanism remains poorly understood. Experimental studies with quantum mechanical (QM) and molecular dynamics (MD) simulations are integrated to reveal the underlying mechanisms of anti-icing behavior. It is found that anti-icing performance is maximized at an optimal coverage of 25% FAS-17 modifier with vertically aligned molecular configurations disrupting hydrogen bonding between ice and surface. The ice adhesion strength is reduced by 85% compared to bare surfaces. It suggests a general design principle that high anti-icing performance arises from controlled molecular order, not maximal density. These insights provide transferable strategies of eco-friendly alternatives and guide a rational development of durable, low-ice-adhesion surfaces such as high-voltage power lines.
最佳的,而不是最大的:分子排列如何控制冰粘附在改性铝表面
超疏水涂层为防冰应用提供了巨大的希望,但减少冰粘附的分子机制仍然知之甚少。结合量子力学(QM)和分子动力学(MD)模拟的实验研究,揭示了抗冰行为的潜在机制。研究发现,当FAS-17改性剂的最佳覆盖率为25%时,抗冰性能达到最大,垂直排列的分子构型破坏了冰与表面之间的氢键。与裸露的表面相比,冰的粘附强度降低了85%。这表明了一个普遍的设计原则,即高的防冰性能来自于控制的分子顺序,而不是最大密度。这些见解为环保替代品提供了可转移的策略,并指导了耐用、低冰附着表面(如高压电力线)的合理发展。
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 求助全文
来源期刊
Applied Surface Science
Applied Surface Science 工程技术-材料科学:膜
CiteScore
12.50
自引率
7.50%
发文量
3393
审稿时长
67 days
期刊介绍: Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书