• DocumentCode
    1779092
  • Title

    An approach to optimize the diffusion process for graded index waveguides fabrication in thin glass sheets

  • Author

    Zhang, Dudu ; Kuhler, Thomas ; Stosch, Jan Hinnerk ; Griese, Elmar

  • Author_Institution
    Inst. of Theor. Electr. Eng. & Photonics, Univ. of Siegen, Siegen, Germany
  • fYear
    2014
  • fDate
    12-16 Oct. 2014
  • Firstpage
    52
  • Lastpage
    53
  • Abstract
    A back-propagation neural network was introduced to model and optimize the Ag+-Na+ ion-exchange process for graded index waveguide fabrication in thin glass sheets. After optimization, the network trained with numerical experiment results showed very good generalization ability.
  • Keywords
    backpropagation; calcium compounds; diffusion; gradient index optics; ion exchange; optical fabrication; optical glass; optical waveguides; silver; sodium; sodium compounds; Ag+-Na+ ion-exchange process; Na2O-CaO2-SiO2; back-propagation neural network; diffusion process; graded index waveguides fabrication; soda-lime glasses; thin glass sheets; Glass; Neural networks; Numerical models; Optical device fabrication; Optical waveguide theory; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics Conference (IPC), 2014 IEEE
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/IPCon.2014.6995205
  • Filename
    6995205
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1779092