Journal of Advanced Materials Research
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TY - JOUR AU - Yang, Jingxian AU - Wu, Zhangyu AU - He, Binbin AU - She, Wei PY - 2026 DA - 2026/01/26 TI - Superhydrophobic Surface for Ice Mitigation: Mechanisms, Fabrication Strategies, and Applications JO - Journal of Advanced Materials Research T2 - Journal of Advanced Materials Research JF - Journal of Advanced Materials Research VL - 2 IS - 1 SP - 14 EP - 39 DO - 10.62762/JAMR.2025.980268 UR - https://www.icck.org/article/abs/JAMR.2025.980268 KW - superhydrophobic surface KW - de-icing KW - anti-icing KW - super-slippery KW - photothermal AB - Superhydrophobic surfaces (SHS), characterized by low surface energy and minimal adhesion to liquids, have attracted extensive attention for applications such as self-cleaning, waterproofing, dust resistance, and corrosion protection. Beyond these traditional functions, the de-icing and anti-icing capabilities of SHS have recently garnered significant interest due to their inherent passive ice-shedding behavior. However, a comprehensive, mechanistic understanding of icing phenomena on SHS, along with effective strategies for improving ice-phobic performance, remains inadequately established. This review presents a systematic evaluation of passive and hybrid active–passive anti-icing and de-icing mechanisms, clarifying the theoretical principles underlying interfacial wetting, nucleation, solidification, and ice adhesion on SHS. It further summarizes recent advances in the design and fabrication of three key categories of SHS-based ice-phobic materials, micro/nanostructured superhydrophobic surfaces, superhydrophobic slippery surfaces, and photothermally responsive superhydrophobic materials—and provides a critical assessment of strategies for enhancing their performance. Finally, the review highlights persistent challenges and emerging opportunities, offering forward-looking perspectives to guide the development of next-generation SHS for robust, durable, and scalable anti-icing and de-icing applications. SN - 3070-5851 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Yang2026Superhydro,
author = {Jingxian Yang and Zhangyu Wu and Binbin He and Wei She},
title = {Superhydrophobic Surface for Ice Mitigation: Mechanisms, Fabrication Strategies, and Applications},
journal = {Journal of Advanced Materials Research},
year = {2026},
volume = {2},
number = {1},
pages = {14-39},
doi = {10.62762/JAMR.2025.980268},
url = {https://www.icck.org/article/abs/JAMR.2025.980268},
abstract = {Superhydrophobic surfaces (SHS), characterized by low surface energy and minimal adhesion to liquids, have attracted extensive attention for applications such as self-cleaning, waterproofing, dust resistance, and corrosion protection. Beyond these traditional functions, the de-icing and anti-icing capabilities of SHS have recently garnered significant interest due to their inherent passive ice-shedding behavior. However, a comprehensive, mechanistic understanding of icing phenomena on SHS, along with effective strategies for improving ice-phobic performance, remains inadequately established. This review presents a systematic evaluation of passive and hybrid active–passive anti-icing and de-icing mechanisms, clarifying the theoretical principles underlying interfacial wetting, nucleation, solidification, and ice adhesion on SHS. It further summarizes recent advances in the design and fabrication of three key categories of SHS-based ice-phobic materials, micro/nanostructured superhydrophobic surfaces, superhydrophobic slippery surfaces, and photothermally responsive superhydrophobic materials—and provides a critical assessment of strategies for enhancing their performance. Finally, the review highlights persistent challenges and emerging opportunities, offering forward-looking perspectives to guide the development of next-generation SHS for robust, durable, and scalable anti-icing and de-icing applications.},
keywords = {superhydrophobic surface, de-icing, anti-icing, super-slippery, photothermal},
issn = {3070-5851},
publisher = {Institute of Central Computation and Knowledge}
}
Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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