The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Foundations of chaotic mixing
Abstract
The simplest mixing problem corresponds to the mixing of a fluid with itself; this case provides a foundation on which the subject rests. The objective here is to study mixing independently of the mechanisms used to create the motion and review elements of theory focusing mostly on mathematical foundations and minimal models. The flows under consideration will be of two types: two-dimensional (2D) 'blinking flows', or three-dimensional (3D) duct flows. Given that mixing in continuous 3D duct flows depends critically on cross-sectional mixing, and that many microfluidic applications involve continuous flows, we focus on the essential aspects of mixing in 2D flows, as they provide a foundation from which to base our understanding of more complex cases. The baker's transformation is taken as the centrepiece for describing the dynamical systems framework. In particular, a hierarchy of characterizations of mixing exist, Bernoulli --> mixing --> ergodic, ordered according to the quality of mixing (the strongest first). Most importantly for the design process, we show how the so-called linked twist maps function as a minimal picture of mixing, provide a mathematical structure for understanding the type of 2D flows that arise in many micromixers already built, and give conditions guaranteeing the best quality mixing. Extensions of these concepts lead to first-principle-based designs without resorting to lengthy computations.
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
Chaotic Mixer for Microchannels
Stroock, A. D., Dertinger, S. K. W., Ajdari, A., Mezić, I., Stone, H. A., & Whitesides, G. M. (2002) · Science · doi:10.1126/science.1066238 · Cited by 3,435
Introduction to Applied Nonlinear Dynamical Systems and Chaos
Wiggins, S. (1990) · Texts in Applied Mathematics · doi:10.1007/978-1-4757-4067-7 · Cited by 2,784
Self-citationErgodic problems of classical mechanics
Arnol'd, V. I., & Avez, A. (1968) · Cited by 2,018
Aref, H. (1984) · Journal of Fluid Mechanics · doi:10.1017/s0022112084001233 · Cited by 1,858
CHARACTERISTIC LYAPUNOV EXPONENTS AND SMOOTH ERGODIC THEORY
Pesin, Y. B. (1977) · Russian Mathematical Surveys · doi:10.1070/rm1977v032n04abeh001639 · Cited by 1,404
A multiplicative ergodic theorem. Ljapunov characteristic numbers for dynamical systems.
Oseledec, V. I. (1968) · Medical Entomology and Zoology · Cited by 1,270
Passive mixing in a three-dimensional serpentine microchannel
Liu, R. H., Stremler, M. A., Sharp, K. V., Olsen, M. G., Santiago, J. G., Adrian, R. J., Aref, H., & Beebe, D. J. (2000) · Journal of Microelectromechanical Systems · doi:10.1109/84.846699 · Cited by 1,197
Mixing, Chaotic Advection, and Turbulence
Ottino, J. M. (1990) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fl.22.010190.001231 · Cited by 612
Self-citationChaotic Transport in Dynamical Systems
Wiggins, S. (1992) · Interdisciplinary Applied Mathematics · doi:10.1007/978-1-4757-3896-4 · Cited by 495
Self-citationIntroduction: mixing in microfluidics
Ottino, J. M., & Wiggins, S. (2004) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2003.1355 · Cited by 436
Self-citation
Cited by
Seemann, R., Brinkmann, M., Pfohl, T., & Herminghaus, S. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/1/016601 · Cited by 1,049
Microfluidic systems for chemical kinetics that rely on chaotic mixing in droplets
Bringer, M. R., Gerdts, C. J., Song, H., Tice, J. D., & Ismagilov, R. F. (2004) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2003.1364 · Cited by 416
Imaging and quantifying mixing in a model droplet micromixer
Stone, Z. B., & Stone, H. A. (2005) · Physics of Fluids · doi:10.1063/1.1929547 · Cited by 136
Priye, A., Yu, Y., Hassan, Y. A., & Ugaz, V. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612924114 · Cited by 18
Metadata
- Authors
- Wiggins, S., & Ottino, J. M.
- Venue
- Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2004-05-15
- Volume
- 362
- Issue
- 1818
- Pages
- 937-970
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- OpenAlex
- W2007080427
- Cited by
- 362
- References
- 25
- FWCI
- 18.52
- 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: Foundations of chaotic mixing. https://app.cochat.ai/papers/10.1098/rsta.2003.1356
- The paper
- Wiggins, S., & Ottino, J. M. (2004). Foundations of chaotic mixing. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.2003.1356
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.