Efficient ILT via Multi-level Lithography Simulation

被引:0
|
作者
Sun, Shuyuan [1 ,2 ]
Yang, Fan [1 ,2 ]
Yu, Bei [4 ]
Shang, Li [1 ,3 ]
Zeng, Xuan [1 ,2 ]
机构
[1] Fudan Univ, State Key Lab Integrated Chips & Syst, Shanghai, Peoples R China
[2] Fudan Univ, Sch Microelect, Shanghai, Peoples R China
[3] Fudan Univ, Shanghai Key Lab Data Sci, Sch Comp Sci, Shanghai, Peoples R China
[4] Chinese Univ Hong Kong, Hong Kong, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
D O I
10.1109/DAC56929.2023.10247704
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Inverse Lithography Technology (ILT) is a widely investigated method to improve the yield of chip manufacturing. However, high computational complexity and difficulty in fabricating curvilinear shapes have hindered the widespread adoption of ILT. This paper presents an efficient ILT framework, including a multi-level resolution method for simulation acceleration, a downsampling strategy for mask optimization, and an improved mask binary function to improve mask printability. Experimental results show that the proposed method outperforms state-of-the-art methods with at least a 33.8% reduction in L2 loss and a 15.5% reduction in PVBand.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Discrete event, multi-level simulation of metabolite channeling
    Degenring, D
    Röhl, M
    Uhrmacher, AM
    BIOSYSTEMS, 2004, 75 (1-3) : 29 - 41
  • [42] Multi-level simulation of Internet of Things on smart territories
    D'Angelo, Gabriele
    Ferretti, Stefano
    Ghini, Vittorio
    SIMULATION MODELLING PRACTICE AND THEORY, 2017, 73 : 3 - 21
  • [43] MULTI-LEVEL SIMULATION AND STATISTICAL-ANALYSIS IN MAXIM
    PHILIPPE, P
    PONE, JF
    RAYNAUD, G
    GERBAULT, B
    CASTAGNE, R
    REVUE DE PHYSIQUE APPLIQUEE, 1989, 24 (02): : 177 - 182
  • [44] Simulation of Hierarchical Multi-Level Grid Control Strategies
    Sarstedt, Marcel
    Kluss, Leonard
    Dokus, Marc
    Hofmann, Lutz
    Gerster, Johannes
    2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020), 2020, : 175 - 180
  • [45] A distributed multi-level system for the monitoring and simulation of epidemics
    Najgebauer, A.
    Pierzchala, D.
    Kasprzyk, R.
    RISK ANALYSIS VII: SIMULATION AND HAZARD MITIGATION & BROWNFIELDS V: PREVENTION, ASSESSMENT, REHABILITATION AND DEVELOPMENT OF BROWNFIELD SITES, 2010, : PI583 - PI595
  • [46] Sub-Scalar Parameterization in Multi-Level Simulation
    Hofmann, Marko A.
    OPERATIONS RESEARCH PROCEEDINGS 2010, 2011, : 559 - 564
  • [47] Parallel Multi-Level Simulation of Wireless Sensor Networks
    Lang, Mario
    Haase, Jan
    Grimm, Christoph
    2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2011, : 2741 - 2744
  • [48] Multi-level simulation of a BEV using EMR methodology
    Husar, Calin
    Raclaru, Eduard Edis
    Irimia, Cristi
    Grovu, Mihail
    Ponchant, Matthieu
    Jaguemont, Joris
    Bouscayrol, Alain
    German, Ronan
    Ruba, Mircea
    Martis, Claudia
    Sirbu, Gabriel Mihai
    2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2020,
  • [49] Multi-level crowd simulation using social LSTM
    Yu, Yingfei
    Xiang, Wei
    Jin, Xiaogang
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2023, 34 (3-4)
  • [50] Multi-level framework for composable simulation based on MDA
    Wang, Wei-Ping
    Zhou, Dong-Xiang
    Li, Qun
    Zhu, Yi-Fan
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (19): : 4358 - 4362