中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Source Optimization using Particle Swarm Optimization Algorithm in Photolithography

文献类型:会议论文

作者Wang, Lei; Li, Sikun; Wang, Xiangzhao; Yan, Guanyong; Yang, Chaoxing
出版日期2015
会议名称conference on optical microlithography xxviii
通讯作者wang, l (reprint author), chinese acad sci, shanghai inst opt & fine mech, lab informat opt & optoelect technol, shanghai 201800, peoples r china.
英文摘要in recent years, with the availability of freeform sources, source optimization has emerged as one of the key techniques for achieving higher resolution without increasing the complexity of mask design. in this paper, an efficient source optimization approach using particle swarm optimization algorithm is proposed. the sources are represented by pixels and encoded into particles. the pattern fidelity is adopted as the fitness function to evaluate these particles. the source optimization approach is implemented by updating the velocities and positions of these particles. the approach is demonstrated by using two typical mask patterns, including a periodic array of contact holes and a vertical line/ space design. the pattern errors are reduced by 66.1% and 39.3% respectively. compared with the source optimization approach using genetic algorithm, the proposed approach leads to faster convergence while improving the image quality at the same time. the robustness of the proposed approach to initial sources is also verified.
收录类别CPCI
会议录optical microlithography xxviii
会议录出版者spie-int soc optical engineering
语种英语
源URL[http://ir.siom.ac.cn/handle/181231/17234]  
专题上海光学精密机械研究所_信息光学与光电技术实验室
作者单位1.[Wang, Lei] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Lab Informat Opt & Optoelect Technol, Shanghai 201800, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Wang, Lei,Li, Sikun,Wang, Xiangzhao,et al. Source Optimization using Particle Swarm Optimization Algorithm in Photolithography[C]. 见:conference on optical microlithography xxviii.

入库方式: OAI收割

来源:上海光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。