Robust design of broadband EUV multilayer using multi-objective evolutionary algorithm

被引:12
|
作者
Kuang, Shang-qi [1 ]
Gong, Xue-peng [2 ]
Yang, Hai-gui [3 ]
机构
[1] Changchun Univ Sci & Technol, Sch Sci, Changchun 130022, Jilin, Peoples R China
[2] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, State Key Lab Appl Opt, Changchun 130033, Jilin, Peoples R China
[3] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Key Lab Opt Syst Adv Mfg Technol, Changchun 130033, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Multilayers; Multilayer design; X-ray; Soft X-rays; Extreme ultraviolet; Thin films; X-RAY; GENETIC ALGORITHM; MIRRORS; FABRICATION; REFLECTIVITY; OPTIMIZATION; COATINGS;
D O I
10.1016/j.optcom.2017.11.045
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Considering the random fluctuations of the layer thickness, a method of robust design of broadband EUV multilayers based on multi-objective evolutionary algorithm is presented. Owing to the optimization of multiobjective evolutionary algorithm, the optical performance and robust quality of broadband Mo/Si multilayer can be optimized simultaneously, and then a set of robust designs of aperiodic EUV multilayers, which are insensitive to the thickness errors can be obtained in one single simulation run. The robust designs of broadband Mo/Si multilayers could be used to reduce the production risks of EUV mirrors, and this research demonstrates a great potential of application of multi-objective evolutionary algorithm on the design of optical thin film. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:805 / 810
页数:6
相关论文
共 50 条
  • [21] Robust design of a passive linear quarter car suspension system using a multi-objective evolutionary algorithm and analytical robustness indexes
    Loyer, B.
    Jezequel, L.
    VEHICLE SYSTEM DYNAMICS, 2009, 47 (10) : 1253 - 1270
  • [22] OPTIMISING RIG DESIGN FOR SAILING YACHTS WITH EVOLUTIONARY MULTI-OBJECTIVE ALGORITHM
    Pawlusik, Mikolaj
    Szlapczynski, Rafal
    Karczewski, Artur
    POLISH MARITIME RESEARCH, 2020, 27 (04) : 36 - 49
  • [23] Multi-Objective Evolutionary Algorithm Based on Decomposition With Orthogonal Experimental Design
    He, Maowei
    Wang, Zhixue
    Chen, Hanning
    Cao, Yang
    Ma, Lianbo
    EXPERT SYSTEMS, 2025, 42 (02)
  • [24] Multi-Objective Evolutionary Design of an Electric Vehicle Chassis
    Luque, Pablo
    Mantaras, Daniel A.
    Maradona, Alvaro
    Roces, Jorge
    Sanchez, Luciano
    Castejon, Luis
    Malon, Hugo
    SENSORS, 2020, 20 (13) : 1 - 21
  • [25] Multi-Objective Multi-Factorial Evolutionary Algorithm for Container Placement
    Liu, Ruochen
    Yang, Ping
    Lv, Haoyuan
    Li, Weibin
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (02) : 1430 - 1445
  • [26] Multi-objective Differential Evolutionary Algorithm based Microstrip Bandpass Filter Design using Wiggly Coupled Resonators
    Natarajan, K.
    Natarajamani, S.
    Jayakumar, M.
    Devi, Nirmala M.
    Velayutham, Shanmuga C.
    Reddy, Siva D.
    2021 IEEE MTT-S INTERNATIONAL MICROWAVE AND RF CONFERENCE (IMARC), 2021,
  • [27] Multi-objective and multi-disciplinary design using evolutionary methods applied to aerospace design problems
    Zoltak, Jerzy
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2018, 232 (04) : 613 - 625
  • [28] Optimal design of grid-connected hybrid renewable energy systems using multi-objective evolutionary algorithm
    Shi, Z. S.
    Wang, R.
    Zhang, X. Y.
    Zhang, Y.
    Zhang, T.
    SCIENTIA IRANICA, 2017, 24 (06) : 3148 - 3156
  • [29] Multi-objective Evolutionary Algorithm for Security Enhancement
    Banu, R. Narmatha
    Devaraj, D.
    JOURNAL OF ELECTRICAL SYSTEMS, 2009, 5 (04)
  • [30] Multi-objective optimization design of Screw conveyor using Genetic Algorithm
    Wang Duanyi
    THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 732-733 : 402 - 406