The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Stable, Superhydrophobic, and Conductive Polyaniline/Polystyrene Films for Corrosive Environments
Abstract
A polyaniline/polystyrene composite film with a lotus‐leaf‐like structure is prepared via a simple electrospinning method. The film shows stable superhydrophobicity and conductivity, even in many corrosive solutions, such as acidic or basic solutions over a wide pH range, and also in oxidizing solutions. The special surface composition and morphology are the two important aspects that induce such unusual properties. The polystyrene content can strongly influence the morphology of the composite films, which thus display different superhydrophobicities and conductivities.
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Cites
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Cited by
Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications
Wang, S., Liu, K., Yao, X., & Jiang, L. (2015) · Chemical Reviews · doi:10.1021/cr400083y · Cited by 1,646
Self-citationOne‐Dimensional Composite Nanomaterials: Synthesis by Electrospinning and Their Applications
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Robust superhydrophobicity: mechanisms and strategies
Zhang, W., Wang, D., Sun, Z., Song, J., & Deng, X. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00751j · Cited by 686
Engineering biomimetic superhydrophobic surfaces of electrospun nanomaterials
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Fabrication of Aligned Fibrous Arrays by Magnetic Electrospinning
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Metadata
- Authors
- Zhu, Y., Zhang, J., Zheng, Y., Huang, Z., Feng, L., & Jiang, L.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2006-01-19
- Volume
- 16
- Issue
- 4
- Pages
- 568-574
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2126568312
- Cited by
- 344
- References
- 39
- FWCI
- 11.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhu, Y., Zhang, J., Zheng, Y., Huang, Z., Feng, L., & Jiang, L. (2006). Stable, Superhydrophobic, and Conductive Polyaniline/Polystyrene Films for Corrosive Environments. Advanced Functional Materials. https://doi.org/10.1002/adfm.200500624
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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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