Chinese Optics Letters, Volume. 17, Issue 12, 121102(2019)

Adaptive gradient-based source and mask co-optimization with process awareness

Yijiang Shen1、*, Fei Peng1, Xiaoyan Huang1, and Zhenrong Zhang2
Author Affiliations
  • 1School of Automation, Guangdong University of Technology, Mega Education Center South, Guangzhou 510006, China
  • 2Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
  • show less
    Figures & Tables(12)
    (a) Schematic of forward lithography. (b) Reflection from and transmission through a stratified medium.
    (a) EPE measurement illustration. (b) Numerical superposition region. (c) Pattern edge set (PES). (d) Edges of target pattern I02 in Fig. 4(c).
    PV Band demonstration. (a)–(c) Printed images under different process conditions. (d) Computed PV Band. (e) PV Band of the printed images with I02 in Fig. 4(c) illuminated by the annular source in Fig. 4(a).
    (a) Annular source J0 with σin=0.6 and σout=0.9. (b), (c) The desired target patterns I01, I02.
    Printed wafer images with (a) PE 4494 and (d) PE 5193, EPE images with (b) EPE 1158 and (e) EPE 1512, PV Band images with (c) PV Band 2347 and (f) PV Band 3965 with respect to target patterns I01 and I02 illuminated by the annular source in Fig. 4(a).
    Simulation results with I01 as the target pattern. Columns from left to right: the synthesized source pattern J^, the synthesized mask pattern M^, the EPE images, and the PV Band images illuminating M^ by J^. Rows: proposed approach (a) with γ1 and (b) with γ2, SGD (c) with γ1 and (d) with γ2.
    Randomly initialized masks within the range (0,1); (a) M01 and (b) M02. (c) ω1 and (d) ω2 are the transformed parameters.
    Simulation results with I01 and I02 as the target pattern and weight γ2. Rows: (a) and (c) proposed approach with ω1 and ω2, (b) and (d) SGD with ω1 and ω2 as initial masks.
    Convergence of (a) S, (b) Spe of the simulations in Fig. 8, (c) Spe of the simulations in Figs. 8(a) and 8(b), and (d) Spe of the simulations in Figs. 8(c) and 8(d).
    • Table 1. Wafer Stack Parameters

      View table
      View in Article

      Table 1. Wafer Stack Parameters

      LayerIndexThickness (nm)
      Incident medium(1.45, 0)
      Top anti-reflection(1.55, 0.0)35
      Photoresist(1.8, 0.02)100
      Bottom anti-reflection(1.72, 0.33)87
      Substrate(0.833, 2.778)
    • Table 2. Spe, Sepe, and Spv of the Simulations in Figs. 5 and 6

      View table
      View in Article

      Table 2. Spe, Sepe, and Spv of the Simulations in Figs. 5 and 6

       Fig. 5Fig. 6
      row I01(a)(b)(c)(d)
      Spe4494614540586490
      Sepe1158172175174143
      Spv23472246183422111885
    • Table 3. Spe, Sepe, and Spv of the Simulations in Figs. 5 and 8

      View table
      View in Article

      Table 3. Spe, Sepe, and Spv of the Simulations in Figs. 5 and 8

       Fig. 5Fig. 8Fig. 5Fig. 8
      row I01(a)(b)row I02(c)(d)
      Spe4494567n.a.5193468n.a.
      Sepe1158178n.a.151296n.a.
      Spv23471867n.a.39652472n.a.
    Tools

    Get Citation

    Copy Citation Text

    Yijiang Shen, Fei Peng, Xiaoyan Huang, Zhenrong Zhang. Adaptive gradient-based source and mask co-optimization with process awareness[J]. Chinese Optics Letters, 2019, 17(12): 121102

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Apr. 24, 2019

    Accepted: Aug. 6, 2019

    Published Online: Dec. 3, 2019

    The Author Email: Yijiang Shen (yjshen@gdut.edu.cn)

    DOI:10.3788/COL201917.121102

    Topics