Acta Optica Sinica, Volume. 43, Issue 1, 0112001(2023)

Method for Inspection of Phase Defects in Extreme Ultraviolet Lithography Mask

Wei Cheng1,2, Sikun Li1,2、*, and Xiangzhao Wang1,2、**
Author Affiliations
  • 1Laboratory of Information Optics and Optoelectronic Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(12)
    Schematic diagram of defective mask blanks. (a) Bump defect; (b) pit defect
    Flow chart for inspection of phase defects based on aerial images
    Schematic diagram of inspection for defect type and location based on convolutional neural network
    Schematic diagram of inspection for defect surface profile parameters based on MLP
    Aerial images of defective mask blanks with different defect parameters. (a) Mask A; (b) mask B; (c) mask C; (d) mask D; (e) mask E; (f) mask F
    Inspection result of defect type factor
    Inspection results of defect position coordinates. (a) x-direction coordinates of bump defects; (b) y-direction coordinates of bump defects; (c) x-direction coordinates of pit defects; (d) y-direction coordinates of pit defects
    Inspection results of defect top profile parameters. (a) Surface height of bump defect; (b) surface FWHM of bump defect; (c) surface height of pit defect; (d) surface FWHM of pit defect
    • Table 1. Parameter setting for imaging simulation

      View table

      Table 1. Parameter setting for imaging simulation

      Simulation objectSubmoduleDescription
      OpticsIllumination

      Wavelength: 13.5 nm;

      chief ray angle: 6°;

      annular source;

      σin=0.6

      σout=0.8

      ProjectionNAobj=0.0825
      MaskMultilayer

      40 pairs of Mo/Si bilayers;

      Mo thickness: 2.78 nm;

      Si thickness: 4.17 nm;

      refractive index of Mo: 0.9238-0.0064j;

      refractive index of Si: 0.9990-0.0018j

      Substrate

      SiO2 thickness: 30 nm;

      refractive index of SiO2: 0.9260 - 0.0436j

    • Table 2. Parameter setting of different defective masks unit: nm

      View table

      Table 2. Parameter setting of different defective masks unit: nm

      Maskxposyposhtopωtophbotωbot
      Mask A002301020
      Mask B004351525
      Mask C40404351525
      Mask D00-230-1020
      Mask E00-435-1525
      Mask F4040-435-1525
    • Table 3. Absolute error distribution of inspection results of defect surface profile parameters

      View table

      Table 3. Absolute error distribution of inspection results of defect surface profile parameters

      Defect typehtopωtop
      MAE0.10 nmMAE0.30 nmMAE0.50 nmMAE1.00 nmMAE3.00 nmMAE5.00 nm
      Bump defect85.9%97.7%99.2%85.9%97.7%100.0%
      Pit defect56.3%90.6%98.4%85.2%100.0%100.0%
    • Table 4. Inspection results for type, location and surface profile parameters of phase defects with and without noise

      View table

      Table 4. Inspection results for type, location and surface profile parameters of phase defects with and without noise

      Defect typeNoise typeSNR /dBClassification accuracy /%

      MAE of

      xpos /nm

      MAE of

      ypos /nm

      MAE of

      htop /nm

      MAE of

      ωtop /nm

      Bump defectWithout noise1001.060.510.060.55
      Bump defectGaussian57.91001.060.530.090.82
      Bump defectGaussian52.91001.060.550.181.37
      Bump defectGaussian47.91001.200.590.242.07
      Bump defectPoisson52.91001.070.550.141.42
      Pit defectWithout noise1001.700.970.120.57
      Pit defectGaussian57.91001.711.010.130.64
      Pit defectGaussian52.91001.751.010.180.94
      Pit defectGaussian47.91001.731.200.271.51
      Pit defectPoisson52.91001.711.070.170.85
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    Wei Cheng, Sikun Li, Xiangzhao Wang. Method for Inspection of Phase Defects in Extreme Ultraviolet Lithography Mask[J]. Acta Optica Sinica, 2023, 43(1): 0112001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: May. 27, 2022

    Accepted: Jun. 20, 2022

    Published Online: Jan. 6, 2023

    The Author Email: Li Sikun (lisikun@siom.ac.cn), Wang Xiangzhao (wxz26267@siom.ac.cn)

    DOI:10.3788/AOS221209

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