The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Effect of Droplet Morphology on Growth Dynamics and Heat Transfer during Condensation on Superhydrophobic Nanostructured Surfaces
Open accessAbstract
Condensation on superhydrophobic nanostructured surfaces offers new opportunities for enhanced energy conversion, efficient water harvesting, and high performance thermal management. These surfaces are designed to be Cassie stable and favor the formation of suspended droplets on top of the nanostructures as compared to partially wetting droplets which locally wet the base of the nanostructures. These suspended droplets promise minimal contact line pinning and promote passive droplet shedding at sizes smaller than the characteristic capillary length. However, the gas films underneath such droplets may significantly hinder the overall heat and mass transfer performance. We investigated droplet growth dynamics on superhydrophobic nanostructured surfaces to elucidate the importance of droplet morphology on heat and mass transfer. By taking advantage of well-controlled functionalized silicon nanopillars, we observed the growth and shedding behavior of suspended and partially wetting droplets on the same surface during condensation. Environmental scanning electron microscopy was used to demonstrate that initial droplet growth rates of partially wetting droplets were 6× larger than that of suspended droplets. We subsequently developed a droplet growth model to explain the experimental results and showed that partially wetting droplets had 4-6× higher heat transfer rates than that of suspended droplets. On the basis of these findings, the overall performance enhancement created by surface nanostructuring was examined in comparison to a flat hydrophobic surface. We showed these nanostructured surfaces had 56% heat flux enhancement for partially wetting droplet morphologies and 71% heat flux degradation for suspended morphologies in comparison to flat hydrophobic surfaces. This study provides insights into the previously unidentified role of droplet wetting morphology on growth rate, as well as the need to design Cassie stable nanostructured surfaces with tailored droplet morphologies to achieve enhanced heat and mass transfer during dropwise condensation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Cited by
Recurrent Filmwise and Dropwise Condensation on a Beetle Mimetic Surface
Hou, Y., Yu, M., Chen, X., Wang, Z., & Yao, S. (2015) · ACS Nano · doi:10.1021/nn505716b · Cited by 527
Zhang, S., Huang, J., Cheng, Y., Yang, H., Chen, Z., & Lai, Y. (2017) · Small · doi:10.1002/smll.201701867 · Cited by 328
Three-Dimensional Superhydrophobic Nanowire Networks for Enhancing Condensation Heat Transfer
Wen, R., Xu, S., Ma, X., Lee, Y.-C., & Yang, R. (2018) · Joule · doi:10.1016/j.joule.2017.11.010 · Cited by 282
Atmosphere-Mediated Superhydrophobicity of Rationally Designed Micro/Nanostructured Surfaces
Yan, X., Huang, Z., Sett, S., Oh, J., Cha, H., Li, L., Feng, L., Wu, Y., Zhao, C., Orejon, D., et al. (2019) · ACS Nano · doi:10.1021/acsnano.8b09106 · Cited by 266
Self-citationMechanism study of condensed drops jumping on super-hydrophobic surfaces
Liu, T. Q., Sun, W., Sun, X. Y., & Ai, H. R. (2012) · Colloids and Surfaces A: Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2012.08.063 · Cited by 132
Metadata
- Authors
- Miljkovic, N., Enright, R., & Wang, E. N.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-02-13
- Volume
- 6
- Issue
- 2
- Pages
- 1776-1785
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1967566176
- Cited by
- 611
- References
- 2
- FWCI
- 17.09
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effect of Droplet Morphology on Growth Dynamics and Heat Transfer during Condensation on Superhydrophobic Nanostructured Surfaces. https://app.cochat.ai/papers/10.1021/nn205052a
- The paper
- Miljkovic, N., Enright, R., & Wang, E. N. (2012). Effect of Droplet Morphology on Growth Dynamics and Heat Transfer during Condensation on Superhydrophobic Nanostructured Surfaces. ACS Nano. https://doi.org/10.1021/nn205052a
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.