The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fluid Vesicles with Viscous Membranes in Shear Flow
Open accessAbstract
The effect of membrane viscosity on the dynamics of vesicles in shear flow is studied. We present a new simulation technique, which combines three-dimensional multiparticle collision dynamics for the solvent with a dynamically triangulated membrane model. Vesicles are found to transit from steady tank treading to unsteady tumbling motion with increasing membrane viscosity. Depending on the reduced volume and membrane viscosity, shear can induce both discocyte-to-prolate and prolate-to-discocyte transformations. This behavior can be understood from a simplified model.
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
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Cited by
Shape transitions of fluid vesicles and red blood cells in capillary flows
Noguchi, H., & Gompper, G. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504243102 · Cited by 580
Self-citation(2009) · JuSER (Forschungszentrum Jülich) · Cited by 465
Biological and synthetic membranes: What can be learned from a coarse-grained description?
MULLER, M., KATSOV, K., & SCHICK, M. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.08.003 · Cited by 320
Mesoscale simulation of biomembranes with FreeDTS
Pezeshkian, W., & Ipsen, J. H. (2024) · Nature Communications · doi:10.1038/s41467-024-44819-w · Cited by 24
Lu, J., Zhu, D., & Li, L. (2022) · The International Journal of Artificial Organs · doi:10.1177/03913988211066502 · Cited by 3
Metadata
- Authors
- Noguchi, H., & Gompper, G.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2004-12-13
- Volume
- 93
- Issue
- 25
- Pages
- 258102-258102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2089923129
- Cited by
- 265
- References
- 1
- FWCI
- 5.03
- 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: Fluid Vesicles with Viscous Membranes in Shear Flow. https://app.cochat.ai/papers/10.1103/physrevlett.93.258102
- The paper
- Noguchi, H., & Gompper, G. (2004). Fluid Vesicles with Viscous Membranes in Shear Flow. Physical Review Letters. https://doi.org/10.1103/physrevlett.93.258102
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.