IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0356817.html

Etching characteristics and profile simulation of silicon

Author

Listed:
  • Hui Zhang
  • Pengpeng Cai

Abstract

The anisotropic wet etching characteristics of crystal silicon are complex and easily affected by etching conditions and mask shapes, which makes it difficult to accurately predict and control the evolution process and 3D etched profile. This study is based on experimental data on the etching rate and mask etching structure of crystal silicon, and analyzes in detail the anisotropic etching mechanism and mask etching forming process, and then establishes an etching process simulation model using the Level Set method. The model first obtains the etching rate of all crystal planes by interpolation of the etching rate of a few sample crystal planes, then establishes the control equation of the etching motion interface based on the level set function and uses the finite difference method to solve the equation to track the evolution of the etching interface, and finally achieves the high-precision simulation of the 3D etched profile under various masks (window mask, mesa mask and double-sided mask). Experimental results show that the simulation results of the model are in good agreement with the actual situation, and the model has good adaptability and predictive ability for different etching systems and mask wafers with different shapes. In addition, the modeling theory is also applicable to the etching profile simulation of quartz and other crystalline materials, and has high simulation accuracy.

Suggested Citation

  • Hui Zhang & Pengpeng Cai, 2026. "Etching characteristics and profile simulation of silicon," PLOS ONE, Public Library of Science, vol. 21(8), pages 1-23, August.
  • Handle: RePEc:plo:pone00:0356817
    DOI: 10.1371/journal.pone.0356817
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0356817
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0356817&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0356817?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
    ---><---

    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:plo:pone00:0356817. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.