Automatic calibration of lithography simulation parameters

被引:9
|
作者
Jug, S [1 ]
Huang, R [1 ]
Byers, J [1 ]
Mack, C [1 ]
机构
[1] FINLE Technol, Div KLA Tencor, Austin, TX 78759 USA
关键词
lithography simulation; model calibration; PROLITH; AutoTune;
D O I
10.1117/12.425230
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A method is presented for automatically adjusting the input parameters of a lithography simulator to more accurately match a given set of experimental conditions. Using contrast curves, swing curves or focus-exposure matrices, simulation parameters are automatically modified in a search to minimize the difference between the simulated results and the experimental data. The algorithms used are described, as well as their robustness and sensitivity to experimental noise. Results of these tuning procedures are presented and the tuned set of parameters is shown to give good quantitative agreement of simulation to experiment.
引用
收藏
页码:380 / 395
页数:16
相关论文
共 50 条
  • [31] Automatic Calibration Method for PHEB Control Parameters Based on Driving Cycles
    Gao J.
    Sun J.
    Xu Z.
    Xi J.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2020, 31 (06): : 631 - 637
  • [32] Automatic calibration of dynamic and heterogeneous parameters in agent-based models
    Kim, Dongjun
    Yun, Tae-Sub
    Moon, Il-Chul
    Bae, Jang Won
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2021, 35 (02)
  • [33] Automatic calibration of dynamic and heterogeneous parameters in agent-based models
    Dongjun Kim
    Tae-Sub Yun
    Il-Chul Moon
    Jang Won Bae
    Autonomous Agents and Multi-Agent Systems, 2021, 35
  • [34] Identifying mass parameters for gravity compensation and automatic torque sensor calibration
    Ma, DH
    Hollerbach, JM
    1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4, 1996, : 661 - 666
  • [35] Automatic extrinsic camera parameters calibration using Convolutional Neural Networks
    Itu, Razvan
    Borza, Diana
    Danescu, Radu
    2017 13TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2017, : 273 - 278
  • [36] Automatic Calibration Of Control Parameters Based On Merit Function Spectral Analysis
    Corti, E.
    Cerofolini, A.
    Cavina, N.
    Forte, C.
    Mancini, G.
    Moro, D.
    Ponti, F.
    Ravaglioli, V.
    ATI 2013 - 68TH CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION, 2014, 45 : 919 - 928
  • [37] Automatic calibration model of a building energy simulation using optimization algorithm
    Hong, Taehoon
    Kim, Jimin
    Jeong, Jaemin
    Lee, Myeonghwi
    Ji, Changyoon
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 3698 - 3704
  • [38] Calibration and testing of discrete element simulation parameters for spinach seeds
    Zheng, Gang
    Qi, Bing
    Zhang, Wenyi
    Song, Shumin
    Wu, Yu
    Xia, Qian Qian
    Wang, Yunxia
    COMPUTATIONAL PARTICLE MECHANICS, 2025, 12 (01) : 479 - 490
  • [39] CALIBRATION OF SIMULATION PARAMETERS OF COATED PARTICLES AND ANALYSIS OF EXPERIMENTAL RESULTS
    Ma, Xuejie
    Hou, Zhanfeng
    Liu, Min
    INMATEH-AGRICULTURAL ENGINEERING, 2022, 67 (02): : 233 - 242
  • [40] Calibration and experiments of the discrete element simulation parameters for water chestnut
    Zhang G.
    Chen L.
    Liu H.
    Dong Z.
    Zhang Q.
    Zhou Y.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (11): : 41 - 50