IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v10y2024i1p3-d1556228.html
   My bibliography  Save this article

Synthetic Dataset for Analyzing Geometry-Dependent Optical Properties of All-Pass Micro-Ring Resonators

Author

Listed:
  • Sebastian Valencia-Garzon

    (Department of Systems, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia 2 Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

  • Esteban Gonzalez-Valencia

    (Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

  • Nelson Gómez-Cardona

    (Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

  • Andres Calvo-Salcedo

    (Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira 660003, Colombia)

  • J. A. Jaramillo-Villegas

    (Faculty of Engineering, Universidad Tecnológica de Pereira, Pereira 660003, Colombia)

  • Jorge Montoya-Cardona

    (Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

  • Erick Reyes-Vera

    (Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050034, Colombia)

Abstract

This study focuses on the analysis of the spectral response of all-pass micro-ring resonators (MRRs), which are essential in photonic device applications such as telecommunications, sensing, and optical frequency comb generation. The aim of this work is to generate a synthetic dataset that explores the spectral characteristics of the expected transmission spectra of MRRs by varying their structural parameters. Using numerical simulations, the dataset will allow the optimization of MRR performance metrics such as free spectral range (FSR), full width at half maximum (FWHM), and quality factor (Q-factor). The results confirm that variations in geometric configurations can significantly affect MRR performance, and the dataset provides valuable insights into the optimization process. Furthermore, machine learning techniques can be applied to the dataset to automate and improve the design process, reducing simulation times and increasing accuracy. This work contributes to the development of photonic devices by providing a broad dataset for further analysis and optimization.

Suggested Citation

  • Sebastian Valencia-Garzon & Esteban Gonzalez-Valencia & Nelson Gómez-Cardona & Andres Calvo-Salcedo & J. A. Jaramillo-Villegas & Jorge Montoya-Cardona & Erick Reyes-Vera, 2024. "Synthetic Dataset for Analyzing Geometry-Dependent Optical Properties of All-Pass Micro-Ring Resonators," Data, MDPI, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:gam:jdataj:v:10:y:2024:i:1:p:3-:d:1556228
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/10/1/3/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/10/1/3/
    Download Restriction: no
    ---><---

    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:gam:jdataj:v:10:y:2024:i:1:p:3-:d:1556228. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.