The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Shape transitions of fluid vesicles and red blood cells in capillary flows
Open accessAbstract
The dynamics of fluid vesicles and red blood cells (RBCs) in cylindrical capillary flow is studied by using a three-dimensional mesoscopic simulation approach. As flow velocity increases, a model RBC is found to transit from a nonaxisymmetric discocyteto an axisymmetric parachute shape (coaxial with the flow axis), while a fluid vesicle is found to transit from a discocyte to a prolate ellipsoid. Both shape transitions reduce the flow resistance. The critical velocities of the shape transitions are linearly dependent on the bending rigidity and on the shear modulus of the membrane. Slipper-like shapes of the RBC model are observed around the transition velocities. Our results are in good agreement with experiments on RBCs.
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Cites
Elastic Properties of Lipid Bilayers: Theory and Possible Experiments
Helfrich, W. (1973) · Zeitschrift für Naturforschung C · doi:10.1515/znc-1973-11-1209 · Cited by 6,141
Configurations of fluid membranes and vesicles
Seifert, U. (1997) · Advances in Physics · doi:10.1080/00018739700101488 · Cited by 1,650
Mesoscopic model for solvent dynamics
Malevanets, A., & Kapral, R. (1999) · The Journal of Chemical Physics · doi:10.1063/1.478857 · Cited by 1,027
Red Cell Deformability and its Relevance to Blood Flow
Chien, S. (1987) · Annual Review of Physiology · doi:10.1146/annurev.ph.49.030187.001141 · Cited by 570
Mohandas, N., & Evans, E. (1994) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.bb.23.060194.004035 · Cited by 560
Defects in flexible membranes with crystalline order
Seung, H. S., & Nelson, D. R. (1988) · Physical Review A · doi:10.1103/physreva.38.1005 · Cited by 555
Biophysical aspects of blood flow in the microvasculature
Pries, A. R., Secomb, T. W., & Gaehtgens, P. (1996) · Cardiovascular Research · doi:10.1016/s0008-6363(96)00065-x · Cited by 553
Lim H. W., G., Wortis, M., & Mukhopadhyay, R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202617299 · Cited by 520
Stochastic rotation dynamics: A Galilean-invariant mesoscopic model for fluid flow
Ihle, T., & Kroll, D. M. (2001) · Physical Review E · doi:10.1103/physreve.63.020201 · Cited by 505
Shelby, J. P., White, J., Ganesan, K., Rathod, P. K., & Chiu, D. T. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2433968100 · Cited by 433
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Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Physical Principles of Nanoparticle Cellular Endocytosis
Zhang, S., Gao, H., & Bao, G. (2015) · ACS Nano · doi:10.1021/acsnano.5b03184 · Cited by 1,103
(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
The Fluid Mechanics of Cancer and Its Therapy
Koumoutsakos, P., Pivkin, I., & Milde, F. (2013) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-120710-101102 · Cited by 129
Metadata
- Authors
- Noguchi, H., & Gompper, G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-09-26
- Volume
- 102
- Issue
- 40
- Pages
- 14159-14164
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2060933310
- Cited by
- 580
- References
- 33
- FWCI
- 11.10
- Type
- journal article
- Language
- en
- Open access
- green
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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.
