The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Fluids at the Nanoscale: From Continuum to Subcontinuum Transport
Open accessAbstract
Nanofluidics has firmly established itself as a new field in fluid mechanics, as novel properties have been shown to emerge in fluids at the nanometric scale. Thanks to recent developments in fabrication technology, artificial nanofluidic systems are now being designed at the scale of biological nanopores. This ultimate step in scale reduction has pushed the development of new experimental techniques and new theoretical tools, bridging fluid mechanics, statistical mechanics, and condensed matter physics. This review is intended as a toolbox for fluids at the nanometer scale. After presenting the basic equations that govern fluid behavior in the continuum limit, we show how these equations break down and new properties emerge in molecular-scale confinement. A large number of analytical estimates and physical arguments are given to organize the results and different limits.
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Cites
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Cited by
Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels
Robin, P., Emmerich, T., Ismail, A., Niguès, A., You, Y., Nam, G.-H., Keerthi, A., Siria, A., Geim, A. K., Radha, B., et al. (2023) · Science · doi:10.1126/science.adc9931 · Cited by 367
Self-citationLipid osmosis, membrane tension, and other mechanochemical driving forces of lipid flow
Zhang, Y., & Lin, C. (2024) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2024.102377 · Cited by 14
Metadata
- Authors
- Kavokine, N., Netz, R. R., & Bocquet, L.
- Venue
- Annual Review of Fluid Mechanics
- Publisher
- Annual Reviews
- Published
- 2021-01-05
- Volume
- 53
- Issue
- 1
- Pages
- 377-410
- ISSN
- 0066-4189 (ISSN-L)
- 1545-4479
- OpenAlex
- W3092620072
- Cited by
- 389
- References
- 108
- FWCI
- 4.36
- 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.
