The DOI matches its Crossref record.
Capillary Interactions Between Anisotropic Colloidal Particles
Abstract
We report on the behavior of micron-sized prolate ellipsoids trapped at an oil-water interface. The particles experience strong, anisotropic, and long-ranged attractive capillary interactions which greatly exceed the thermal energy k(B)T. Depending on surface chemistry, the particles aggregate into open structures or chains. Using video microscopy, we extract the pair interaction potential between ellipsoids and show it exhibits a power law behavior over the length scales probed. Our observations can be explained using recent calculations, if we describe the interfacial ellipsoids as capillary quadrupoles.
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
Cited by
The role of particles in stabilising foams and emulsions
Hunter, T. N., Pugh, R. J., Franks, G. V., & Jameson, G. J. (2008) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2007.07.007 · Cited by 1,063
A review on inkjet printing of nanoparticle inks for flexible electronics
Nayak, L., Mohanty, S., Nayak, S. K., & Ramadoss, A. (2019) · Journal of Materials Chemistry C · doi:10.1039/c9tc01630a · Cited by 497
Observation of Plasmon Propagation, Redirection, and Fan-Out in Silver Nanowires
Sanders, A. W., Routenberg, D. A., Wiley, B. J., Xia, Y., Dufresne, E. R., & Reed, M. A. (2006) · Nano Letters · doi:10.1021/nl052471v · Cited by 401
Direct Observation of Interactions between Nanoparticles and Nanoparticle Self-Assembly in Solution
Tan, S. F., Chee, S. W., Lin, G., & Mirsaidov, U. (2017) · Accounts of Chemical Research · doi:10.1021/acs.accounts.7b00063 · Cited by 133
Metadata
- Authors
- Loudet, J. C., Alsayed, A. M., Zhang, J., & Yodh, A. G.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2005-01-03
- Volume
- 94
- Issue
- 1
- Pages
- 018301-018301
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W1964853637
- Cited by
- 391
- References
- 0
- FWCI
- 4.64
- Type
- journal article
- Language
- en
- Open access
- closed
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: Capillary Interactions Between Anisotropic Colloidal Particles. https://app.cochat.ai/papers/10.1103/physrevlett.94.018301
- The paper
- Loudet, J. C., Alsayed, A. M., Zhang, J., & Yodh, A. G. (2005). Capillary Interactions Between Anisotropic Colloidal Particles. Physical Review Letters. https://doi.org/10.1103/physrevlett.94.018301
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.
