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Cited by 434

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Giant and switchable surface activity of liquid metal via surface oxidation

Open access
Khan, Mohammad Rashed, Eaker, Collin B., Bowden, Edmond F., Dickey, Michael D.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: We present a method to control the interfacial energy of a liquid metal via electrochemical deposition (or removal) of an oxide layer on its surface. Unlike conventional surfactants, this approach can tune the interfacial tension of a metal significantly (from ∼7× that of water to near zero), rapidly, and reversibly using only modest voltages. These properties can be harnessed to induce previously unidentified electrohydrodynamic phenomena for manipulating liquid metal alloys based on gallium, which may enable shape-reconfigurable metallic components in electronic, electromagnetic, and microfluidic devices without the use of toxic mercury. The results also suggest that oxides—which are ubiquitous on most metals and semiconductors—may be harnessed to lower interfacial energy between dissimilar materials.

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Crossref · 10.1073/pnas.1412227111

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Metadata

Authors
Khan, M. R., Eaker, C. B., Bowden, E. F., & Dickey, M. D.
Venue
Proceedings of the National Academy of Sciences
Published
2014-09-16
Volume
111
Issue
39
Pages
14047-14051
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1995327029
Cited by
434
References
23
FWCI
13.27
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Giant and switchable surface activity of liquid metal via surface oxidation. https://app.cochat.ai/papers/10.1073/pnas.1412227111
The paper
Khan, M. R., Eaker, C. B., Bowden, E. F., & Dickey, M. D. (2014). Giant and switchable surface activity of liquid metal via surface oxidation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1412227111

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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.