The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Clusters of Amphiphilic Colloidal Spheres
Abstract
Orientation-dependent interactions can drive unusual self-assembly of colloidal particles. This study, based on combined epifluorescence microscopy and Monte Carlo simulations, shows that amphiphilic colloidal spheres, hydrophobic on one hemisphere and charged on the other, assemble in water into extended structures not formed by spheres of uniform surface chemical makeup. Small, compact clusters each comprised of less than 10 of these Janus spheres link up, as increasing salt concentration enhances electrostatic screening, into wormlike strings.
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Citations
Cites
On the origins of morphological complexity in block copolymer surfactants
Jain, S., & Bates, F. S. (2003) · Science · doi:10.1126/science.1082193 · Cited by 1,217
Cited by
Janus Particles: Synthesis, Self-Assembly, Physical Properties, and Applications
Walther, A., & Müller, A. H. E. (2013) · Chemical Reviews · doi:10.1021/cr300089t · Cited by 1,769
Amphiphile nanoarchitectonics: from basic physical chemistry to advanced applications
Ramanathan, M., Shrestha, L. K., Mori, T., Ji, Q., Hill, J. P., & Ariga, K. (2013) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp50620g · Cited by 353
Metadata
- Authors
- Hong, L., Cacciuto, A., Luijten, E., & Granick, S.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-01-09
- Volume
- 24
- Issue
- 3
- Pages
- 621-625
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2001465707
- Cited by
- 283
- References
- 1
- FWCI
- 12.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hong, L., Cacciuto, A., Luijten, E., & Granick, S. (2008). Clusters of Amphiphilic Colloidal Spheres. Langmuir. https://doi.org/10.1021/la7030818
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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.
