IDEAS home Printed from https://ideas.repec.org/a/taf/nmcmxx/v18y2011i3p261-272.html
   My bibliography  Save this article

Identification of radius-vector functions of interface evolution for star-shaped crystal growth

Author

Listed:
  • Yifan Zhao
  • Daniel Coca
  • Stephen A. Billings
  • Yuzhu Guo
  • Rile I. Ristic
  • Lucy L. De Matos
  • Andrew Dougherty

Abstract

This article introduces a new method based on a radius-vector function for identifying the spatio-temporal transition rule of star-shaped crystal growth directly from experimental crystal growth imaging data. From the morphology point of view, the growth is decomposed as initial conditions, uniform growth and directional growth, which is represented by a static polynomial model based on the Fourier expansion. A recursive model is also introduced to help understand the dynamic characteristics of the observed systems. The applicability of the proposed approach is demonstrated using data from a simulation and from a real crystal growth experiment.

Suggested Citation

  • Yifan Zhao & Daniel Coca & Stephen A. Billings & Yuzhu Guo & Rile I. Ristic & Lucy L. De Matos & Andrew Dougherty, 2011. "Identification of radius-vector functions of interface evolution for star-shaped crystal growth," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 18(3), pages 261-272, December.
  • Handle: RePEc:taf:nmcmxx:v:18:y:2011:i:3:p:261-272
    DOI: 10.1080/13873954.2011.651475
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13873954.2011.651475
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13873954.2011.651475?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.

    References listed on IDEAS

    as
    1. Antonio Sciarretta, 2006. "A lattice gas model with temperature and buoyancy effects to predict the concentration of pollutant gas released by power plants and traffic sources," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 12(4), pages 313-327, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:taf:nmcmxx:v:18:y:2011:i:3:p:261-272. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/NMCM20 .

      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.