The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.
Recent progress in the anti-icing performance of slippery liquid-infused surfaces
Open accessAbstract
Abstract Ice accumulation on outdoor structures can cause costly damage to this exposed infrastructure. Research has therefore focused on means of protecting these surfaces from ice coverage. A promising approach is the design of anti-icing surfaces and, in particular, the development of slippery liquid-infused porous surfaces (SLIPS) for icephobic applications. SLIPS involve a lubricant being infused into the porous structures of the surface, thereby eliminating water condensation in pores and reducing ice adhesion. Liquid-infused surfaces also exhibit an extreme liquid repellency, showing a low contact angle hysteresis of
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“The frost adhesion on slippery liquid-infused porous surface is also significantly lower than that on other surfaces [111 -113].”
From Frosting mechanism and behaviors on surfaces with simple geometries: A state-of-the-art literature review (2022) · cites this paper as [111]
Citations
Cites
Purity of the sacred lotus, or escape from contamination in biological surfaces
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Bioinspired self-repairing slippery surfaces with pressure-stable omniphobicity
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Tuteja, A., Choi, W., Ma, M., Mabry, J. M., Mazzella, S. A., Rutledge, G. C., McKinley, G. H., & Cohen, R. E. (2007) · Science · doi:10.1126/science.1148326 · Cited by 3,006
Super-Water-Repellent Fractal Surfaces
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Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications
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Progess in superhydrophobic surface development
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Liquid-Infused Nanostructured Surfaces with Extreme Anti-Ice and Anti-Frost Performance
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Research works printed but not linked: 2
- Hejazi, 2013, From superhydrophobicity to icephobicity: forces and interaction analysis, Sci. Rep., 3, 10.1038/srep02194 · DOI · Paper page
- Irajizad, 2016, Magnetic slippery extreme icephobic surfaces, Nat. Commun., 7, 1, 10.1038/ncomms13395 · DOI · Paper page
Cited by
Zhang, L., Song, M., Deng, S., Shen, J., & Dang, C. (2022) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2022.118984 · Cited by 83
Metadata
- Authors
- Heydarian, S., Jafari, R., & Momen, G.
- Affiliations
- Université du Québec à Chicoutimi (CA)
- Corresponding author
- Heydarian, Samaneh
- Venue
- Progress in Organic Coatings
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 151
- Pages
- 106096
- ISSN
- 0300-9440 (ISSN-L)
- OpenAlex
- W3115500696
- Cited by
- 117
- References
- 145
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 23 · 2023: 34 · 2022: 30 · 2021: 8
- FWCI
- 4.89
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Progress in Organic Coatings (publishedVersion)
- Constellation (Université du Québec à Chicoutimi) (submittedVersion, cc-by-nc-nd)
- Espace ÉTS (ETS) (submittedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Materials Science › Surfaces, Coatings and Films › Surface Modification and Superhydrophobicity
- Physical Sciences › Engineering › Aerospace Engineering › Icing and De-icing Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrowetting and Microfluidic Technologies
- Keywords
- slippery liquid-infused porous surfaces, anti-icing surfaces, icephobicity, ice adhesion, wettability, contact angle hysteresis, surface texture, lubricant properties, surface fabrication
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- Heydarian, S., Jafari, R., & Momen, G. (2021). Recent progress in the anti-icing performance of slippery liquid-infused surfaces. Progress in Organic Coatings. https://doi.org/10.1016/j.porgcoat.2020.106096
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.