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探究仿生表面疏水性背后的纳米结构设计机制。

Investigating the Nanostructure Design Mechanism Behind the Hydrophobicity of the Biomimetic Surface.

作者信息

Meng Fan, Liu Jialong, Arai Noriyoshi

机构信息

Department of Mechanical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, 2238522 Kanagawa, Japan.

Department of Physics and Electronics, School of Mathematics and Physics, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Chaoyang District, Beijing 100029, China.

出版信息

ACS Appl Mater Interfaces. 2025 Apr 16;17(15):23394-23404. doi: 10.1021/acsami.5c01743. Epub 2025 Apr 1.

Abstract

Wettability, a fundamental physicochemical property of functional materials that depends on their surface structure, has seen recent advances in understanding that have led to the development of superhydrophobic surfaces with applications in self-cleaning materials and antifogging coatings. Given the presence of a free energy barrier between the Cassie and Wenzel states, calculating this barrier provides a valuable means to assess surface hydrophobicity. We hypothesize that surface characteristics affect the free energy barrier between wetting states and that the determination of this barrier can be used to predict the hydrophobicity. Focused on models of a butterfly wing (striped surface) and a mosquito eye (pillared surface), this study employed many-body dissipative particle dynamics (mDPD) simulations to explore the relationship between the free energy barrier and surface roughness (height and spacing). For small-radius droplets, the height of the surface pattern predominantly influences the hydrophobicity. Conversely, for large-radius droplets, the spacing of the surface pattern is the dominant factor. Considering that the contact angle indicates static hydrophobicity, the free energy barrier is the indicator of dynamic hydrophobicity, which shows how well the surface can maintain its hydrophobicity under the impact of a droplet. This study underscores the advantages of the free energy barrier method in understanding dynamic hydrophobicity, which can be applied in evaluating high kinetic energy droplets onto surfaces, for example, automobiles, trains, and aircraft.

摘要

润湿性是功能材料的一种基本物理化学性质,取决于其表面结构,近年来在这方面的认识取得了进展,从而开发出了具有自清洁材料和防雾涂层应用的超疏水表面。鉴于在Cassie态和Wenzel态之间存在自由能垒,计算这个能垒为评估表面疏水性提供了一种有价值的方法。我们假设表面特征会影响润湿态之间的自由能垒,并且这个能垒的确定可用于预测疏水性。本研究聚焦于蝴蝶翅膀(条纹表面)和蚊子眼睛(柱状表面)的模型,采用多体耗散粒子动力学(mDPD)模拟来探究自由能垒与表面粗糙度(高度和间距)之间的关系。对于小半径液滴,表面图案的高度主要影响疏水性。相反,对于大半径液滴,表面图案的间距是主导因素。考虑到接触角表示静态疏水性,自由能垒是动态疏水性的指标,它表明表面在液滴冲击下保持其疏水性的程度。本研究强调了自由能垒方法在理解动态疏水性方面的优势,该方法可应用于评估高动能液滴作用于表面的情况,例如汽车、火车和飞机的表面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1056/12012788/32d984988c35/am5c01743_0001.jpg

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