The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Boosting migration of large particles by solute contrasts
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Citations
Cites
Extreme accumulation of nucleotides in simulated hydrothermal pore systems
Baaske, P., Weinert, F. M., Duhr, S., Lemke, K. H., Russell, M. J., & Braun, D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609592104 · Cited by 367
Cited by
Dynamic Clustering in Active Colloidal Suspensions with Chemical Signaling
Theurkauff, I., Cottin-Bizonne, C., Palacci, J., Ybert, C., & Bocquet, L. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.268303 · Cited by 773
Self-citationOsmosis, from molecular insights to large-scale applications
Marbach, S., & Bocquet, L. (2019) · Chemical Society Reviews · doi:10.1039/c8cs00420j · Cited by 316
Self-citationSteep pH gradients and directed colloid transport in a microfluidic alkaline hydrothermal pore
Möller, F. M., Kriegel, F., Kieß, M., Sojo, V., & Braun, D. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201610781 · Cited by 78
Metadata
- Authors
- Abécassis, B., Cottin-Bizonne, C., Ybert, C., Ajdari, A., & Bocquet, L.
- Venue
- Nature Materials
- Published
- 2008-08-17
- Volume
- 7
- Issue
- 10
- Pages
- 785-789
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W2024851651
- Cited by
- 304
- References
- 1
- FWCI
- 13.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Boosting migration of large particles by solute contrasts. https://app.cochat.ai/papers/10.1038/nmat2254
- The paper
- Abécassis, B., Cottin-Bizonne, C., Ybert, C., Ajdari, A., & Bocquet, L. (2008). Boosting migration of large particles by solute contrasts. Nature Materials. https://doi.org/10.1038/nmat2254
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.