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The immersed boundary method: A projection approach
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(2021) · A First Course in Statistical Programming with R · doi:10.1017/9781108993456.011 · Cited by 13,724
(1999) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/b98874 · Cited by 9,482
Numerical solution of the Navier-Stokes equations
Chorin, A. J. (1968) · Mathematics of Computation · doi:10.1090/s0025-5718-1968-0242392-2 · Cited by 5,735
Peskin, C. S. (2002) · Acta Numerica · doi:10.1017/s0962492902000077 · Cited by 4,603
Mittal, R., & Iaccarino, G. (2005) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.37.061903.175743 · Cited by 3,472
Numerical analysis of blood flow in the heart
Peskin, C. S. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90100-0 · Cited by 3,084
Flow patterns around heart valves: A numerical method
Peskin, C. S. (1972) · Journal of Computational Physics · doi:10.1016/0021-9991(72)90065-4 · Cited by 3,047
A numerical method for solving incompressible viscous flow problems
Chorin, A. J. (1967) · Journal of Computational Physics · doi:10.1016/0021-9991(67)90037-x · Cited by 2,345
Modeling a No-Slip Flow Boundary with an External Force Field
Goldstein, D., Handler, R., & Sirovich, L. (1993) · Journal of Computational Physics · doi:10.1006/jcph.1993.1081 · Cited by 1,242
Experiments on the flow past a circular cylinder at low Reynolds numbers
Tritton, D. J. (1959) · Journal of Fluid Mechanics · doi:10.1017/s0022112059000829 · Cited by 1,138
Cited by
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517384113 · Cited by 4,796
Data-driven discovery of partial differential equations
Rudy, S. H., Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2017) · Science Advances · doi:10.1126/sciadv.1602614 · Cited by 1,557
On dynamic mode decomposition: Theory and applications
Tu, J. H., Rowley, C. W., Luchtenburg, D. M., Brunton, S. L., & Kutz, J. N. (2014) · Journal of Computational Dynamics · doi:10.3934/jcd.2014.1.391 · Cited by 1,528
Super-resolution reconstruction of turbulent flows with machine learning
Fukami, K., Fukagata, K., & Taira, K. (2019) · Journal of Fluid Mechanics · doi:10.1017/jfm.2019.238 · Cited by 837
Self-citationClosed-Loop Turbulence Control: Progress and Challenges
Brunton, S. L., & Noack, B. R. (2015) · Applied Mechanics Reviews · doi:10.1115/1.4031175 · Cited by 623
Metadata
- Authors
- Taira, K., & Colonius, T.
- Venue
- Journal of Computational Physics
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 225
- Issue
- 2
- Pages
- 2118-2137
- ISSN
- 0021-9991 (ISSN-L)
- OpenAlex
- W2047425707
- Cited by
- 667
- References
- 20
- FWCI
- 20.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Taira, K., & Colonius, T. (2007). The immersed boundary method: A projection approach. Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2007.03.005
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.