Source data for the publication: Miniaturized metachronal magnetic artificial cilia

doi:10.4121/a979f4ca-bc04-47b2-8f4c-d045c358903b.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/a979f4ca-bc04-47b2-8f4c-d045c358903b
Datacite citation style:
den Toonder, Jaap; Cui, Zhiwei; Wang, Ye; Zhang, Shuaizhong; Wang, Tongsheng (2024): Source data for the publication: Miniaturized metachronal magnetic artificial cilia. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a979f4ca-bc04-47b2-8f4c-d045c358903b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This data set contains the source data of the publication: Cui, Z., Wang, Y., Zhang, S., Wang, T. & Toonder, J.M.J. den (2023). Self-cleaning surfaces realized by biologically  sized magnetic artificial cilia. PNAS 2023, Vol. 120, No. 35, e2304519120. https://doi.org/10.1073/pnas.2304519120. In this study, we introduce a concept that generates metachronal motion of magnetic artificial cilia (MAC), even though the MAC are all identical, and the applied external magnetic field is uniform. This is achieved by integrating a paramagnetic substructure in the substrate underneath the MAC. Uniquely, we can create both symplectic and antiplectic metachrony by changing the relative positions of MAC and substructure. We demonstrate the flow generation of the two metachronal motions in both high and low Reynolds number conditions. The data are experimentally obtained with methods described in the publication.

history
  • 2024-05-27 first online, published, posted
publisher
4TU.ResearchData
format
docx, txt, xls, csv
associated peer-reviewed publication
Miniaturized metachronal magnetic artificial cilia
funding
  • Bio-Inspired Microfluidics Platform for Biomechanical Analysis (grant code 833214) [more info...] European Research Council
  • CSC Scholarship (grant code 201706400061) Chinese Science Council
organizations
TU Eindhoven, Department of Mechanical Engineering

DATA

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