• Laser & Optoelectronics Progress
  • Vol. 59, Issue 9, 0922007 (2022)
Guodong Chen1、2, Zinan Zhang1、2, Sikun Li1、2, and Xiangzhao Wang1、2、*
Author Affiliations
  • 1Laboratory of Information Optics and Opto-Electronic 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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    DOI: 10.3788/LOP202259.0922007 Cite this Article Set citation alerts
    Guodong Chen, Zinan Zhang, Sikun Li, Xiangzhao Wang. Study on Deep Ultraviolet Computational Lithography Techniques[J]. Laser & Optoelectronics Progress, 2022, 59(9): 0922007 Copy Citation Text show less
    Typical optical proximity effects[9]
    Fig. 1. Typical optical proximity effects[9]
    Schematic of four correction rules[9]
    Fig. 2. Schematic of four correction rules[9]
    Schematic of the principles of EBOPC and PBOPC[42]
    Fig. 3. Schematic of the principles of EBOPC and PBOPC[42]
    Imaging anomaly correction based on virtual edge[17]. (a) Horizontal extension anomaly; (b) horizontal shrinkage anomaly
    Fig. 4. Imaging anomaly correction based on virtual edge[17]. (a) Horizontal extension anomaly; (b) horizontal shrinkage anomaly
    Imaging anomaly correction based on biphasic sampling[17]. (a) Shrinkage anomaly around the convex corner; (b) horizontal extension anomaly
    Fig. 5. Imaging anomaly correction based on biphasic sampling[17]. (a) Shrinkage anomaly around the convex corner; (b) horizontal extension anomaly
    Schematic of the principle of SMO techniques[9]
    Fig. 6. Schematic of the principle of SMO techniques[9]
    SMO results of different optimization algorithms[23]
    Fig. 7. SMO results of different optimization algorithms[23]
    Schematic of the principle of ILT[42]
    Fig. 8. Schematic of the principle of ILT[42]
    Optimization flow of ILT based on block modulation overlapping and SRAF seed insertion[25]
    Fig. 9. Optimization flow of ILT based on block modulation overlapping and SRAF seed insertion[25]
    Strategies for pattern simplification during mask data preparation[119]
    Fig. 10. Strategies for pattern simplification during mask data preparation[119]
    Guodong Chen, Zinan Zhang, Sikun Li, Xiangzhao Wang. Study on Deep Ultraviolet Computational Lithography Techniques[J]. Laser & Optoelectronics Progress, 2022, 59(9): 0922007
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