IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v574y2019i7780d10.1038_s41586-019-1701-6.html
   My bibliography  Save this article

Braess’s paradox and programmable behaviour in microfluidic networks

Author

Listed:
  • Daniel J. Case

    (Northwestern University)

  • Yifan Liu

    (Saint Louis University)

  • István Z. Kiss

    (Saint Louis University)

  • Jean-Régis Angilella

    (UNICAEN, UNIROUEN, ABTE)

  • Adilson E. Motter

    (Northwestern University
    Northwestern University)

Abstract

Microfluidic systems are now being designed with precision as miniaturized fluid manipulation devices that can execute increasingly complex tasks. However, their operation often requires numerous external control devices owing to the typically linear nature of microscale flows, which has hampered the development of integrated control mechanisms. Here we address this difficulty by designing microfluidic networks that exhibit a nonlinear relation between the applied pressure and the flow rate, which can be harnessed to switch the direction of internal flows solely by manipulating the input and/or output pressures. We show that these networks— implemented using rigid polymer channels carrying water—exhibit an experimentally supported fluid analogue of Braess’s paradox, in which closing an intermediate channel results in a higher, rather than lower, total flow rate. The harnessed behaviour is scalable and can be used to implement flow routing with multiple switches. These findings have the potential to advance the development of built-in control mechanisms in microfluidic networks, thereby facilitating the creation of portable systems and enabling novel applications in areas ranging from wearable healthcare technologies to deployable space systems.

Suggested Citation

  • Daniel J. Case & Yifan Liu & István Z. Kiss & Jean-Régis Angilella & Adilson E. Motter, 2019. "Braess’s paradox and programmable behaviour in microfluidic networks," Nature, Nature, vol. 574(7780), pages 647-652, October.
  • Handle: RePEc:nat:nature:v:574:y:2019:i:7780:d:10.1038_s41586-019-1701-6
    DOI: 10.1038/s41586-019-1701-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-019-1701-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-019-1701-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alejandro Martínez-Calvo & Matthew D. Biviano & Anneline H. Christensen & Eleni Katifori & Kaare H. Jensen & Miguel Ruiz-García, 2024. "The fluidic memristor as a collective phenomenon in elastohydrodynamic networks," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Benjamin Schäfer & Thiemo Pesch & Debsankha Manik & Julian Gollenstede & Guosong Lin & Hans-Peter Beck & Dirk Witthaut & Marc Timme, 2022. "Understanding Braess’ Paradox in power grids," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Kurian, Varghese & Narasimhan, Sridharakumar, 2023. "Analysis of potential flow networks: Variations in transport time with discrete, continuous, and selfish operation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:574:y:2019:i:7780:d:10.1038_s41586-019-1701-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.