Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces

Abstract Frost and ice formation on a solid surface is governed by nanoscale liquid‒solid intermolecular interactions that manifest as macroscopic surface wettability. This study uses rigorous experiments and modeling approaches to develop a framework for condensation frosting incipience on surfaces having different wettabilities. The model employs a comprehensive statistical framework, considers the effect of surface wettability, and captures the stochastic nature of both nucleation dynamics for condensation and droplet growth during the subsequent freezing process. By introducing a statistical description of the active nucleation sites and droplet size distribution, we provide a reliable model that can predict the overall surface coverage fraction by frozen droplets. Our model shows that superhydrophilic and hydrophilic surfaces have much higher coverage fractions than superhydrophobic surfaces and demonstrates the connection between coverage and frost density and adhesion strength under different wettabilities. The developed framework provides insight into surface design for applications where frost and ice formation are important.

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Publication Details

Journal
Droplet
Published
2026-03-09
DOI
https://doi.org/10.1002/dro2.70056
Primary Topic
Surface Modification and Superhydrophobicity
Type
article
Field-Weighted Citation Impact
0.00
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article

Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces

Siyan Yang, Vishwanath Ganesan, Parsa Faghihi, Wentao Yang et al.
Droplet
Surface Modification and Superhydrophobicity
article

Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces

Siyan Yang, Vishwanath Ganesan, Parsa Faghihi, Wentao Yang, Jiaqi Liu, Jiayi Zhang, Wenhao Yang, Nenad Miljkovic, Omkar Gandhi
article en

Abstract

Abstract Frost and ice formation on a solid surface is governed by nanoscale liquid‒solid intermolecular interactions that manifest as macroscopic surface wettability. This study uses rigorous experiments and modeling approaches to develop a framework for condensation frosting incipience on surfaces having different wettabilities. The model employs a comprehensive statistical framework, considers the effect of surface wettability, and captures the stochastic nature of both nucleation dynamics for condensation and droplet growth during the subsequent freezing process. By introducing a statistical description of the active nucleation sites and droplet size distribution, we provide a reliable model that can predict the overall surface coverage fraction by frozen droplets. Our model shows that superhydrophilic and hydrophilic surfaces have much higher coverage fractions than superhydrophobic surfaces and demonstrates the connection between coverage and frost density and adhesion strength under different wettabilities. The developed framework provides insight into surface design for applications where frost and ice formation are important.

Droplet
University of Illinois Urbana-Champaign (US), University of Illinois System (US), Energy Biosciences Institute (US)
Openalex Percentile: Top 27%
Surface Modification and Superhydrophobicity
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Statistical framework for condensation frosting incipience on smooth and nanostructured surfaces — Siyan Yang, Vishwanath Ganesan, et al. · Droplet (2026) | TGRS Research Map | TGRS