The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Long-lived superhydrophobic surfaces
Abstract
Prolonging the lifetime of superhydrophobic surfaces is required so that the materials can be used practically. Thus, great efforts have been made in designing surfaces that maintain micro- and nanoscaled hierarchical structures and low surface-energy property, which are necessary for superhydrophobicity, during use. It was demonstrated that improving surface mechanical strength to increase wear resistance helps maintain hierarchical roughness, retarding the loss of superhydrophobicity. Additionally, designing self-healing materials that can recover their structure and/or properties when damaged has been suggested and demonstrated to sustain the superhydrophobicity of surfaces. This review focuses on recent advances in developing mechanically durable, corrosion-resistant, self-healing, and easily repairable superhydrophobic surfaces, which will enable prolonged lifetime of superhydrophobicity for practical applications in the future.
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Cites
Super‐Hydrophobic Surfaces: From Natural to Artificial
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Bioinspired self-repairing slippery surfaces with pressure-stable omniphobicity
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Self-cleaning surfaces — virtual realities
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Candle Soot as a Template for a Transparent Robust Superamphiphobic Coating
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Progess in superhydrophobic surface development
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A Super‐Hydrophobic and Super‐Oleophilic Coating Mesh Film for the Separation of Oil and Water
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Cited by
Identification and visualisation of microplastics/nanoplastics by Raman imaging (i): Down to 100 nm
Sobhani, Z., Zhang, X., Gibson, C., Naidu, R., Megharaj, M., & Fang, C. (2020) · Water Research · doi:10.1016/j.watres.2020.115658 · Cited by 305
Metadata
- Authors
- Xue, C.-H., & Ma, J.-Z.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 1
- Issue
- 13
- Pages
- 4146
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2139463695
- Cited by
- 316
- References
- 110
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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