The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Biomimetic water-collecting materials inspired by nature
Abstract
Here, the water-collecting materials inspired by the three typical and widely-researched creatures (cactus, spider, desert beetle) are first introduced. Then, another eight animals and plants (butterfly, shore birds, wheat awns, green bristlegrass bristle, Cotula fallax plant, Namib grass, green tree frogs and Australian desert lizards) that are rarely reported are followed to be complemented.
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Citations
Cites
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
RESISTANCE OF SOLID SURFACES TO WETTING BY WATER
Wenzel, R. N. (1936) · Industrial & Engineering Chemistry · doi:10.1021/ie50320a024 · Cited by 13,316
Biological materials: Functional adaptations and bioinspired designs
Chen, P.-Y., McKittrick, J., & Meyers, M. A. (2012) · Progress in Materials Science · doi:10.1016/j.pmatsci.2012.03.001 · Cited by 766
Cited by
Wu, C., Liu, Q., Chen, R., Liu, J., Zhang, H., Li, R., Takahashi, K., Liu, P., & Wang, J. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b16848 · Cited by 300
Advances in solar evaporator materials for freshwater generation
Cao, S., Jiang, Q., Wu, X., Ghim, D., Gholami Derami, H., Chou, P.-I., Jun, Y.-S., & Singamaneni, S. (2019) · Journal of Materials Chemistry A · doi:10.1039/c9ta06034k · Cited by 287
Metadata
- Authors
- Zhu, H., Guo, Z., & Liu, W.
- Venue
- Chemical Communications
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 52
- Issue
- 20
- Pages
- 3863-3879
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2254638114
- Cited by
- 234
- References
- 3
- FWCI
- 11.50
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.