Tao Zhou, X. Shi, Yanyan, Chen Li, Shoumian Chen, Yuhang Zhao, Wenzhan Zhou, Kan Zhou, Xuan Zeng
{"title":"An effective method of contour extraction for SEM image based on DCNN","authors":"Tao Zhou, X. Shi, Yanyan, Chen Li, Shoumian Chen, Yuhang Zhao, Wenzhan Zhou, Kan Zhou, Xuan Zeng","doi":"10.1109/IWAPS51164.2020.9286798","DOIUrl":"https://doi.org/10.1109/IWAPS51164.2020.9286798","url":null,"abstract":"SEM-image contours provide valuable information about patterning quality and capability. Geometrical properties such as critical dimension and resist sidewall angle could be extracted or estimated from SEM image contours. Those geometrical properties can be used for OPC model calibration, OPC model verification and lithography hotspot detection. This work presents a machine learning based method for contour extraction of SEM image. A designed DCNN network and self-made high quality dataset are combined for contour model training. Based on the high capability of image/feature representation and remarkable advantage of parallel computing with hardware acceleration, the model achieves high accuracy and real-time operation for contour extraction, more importantly, it provides the ability to distinguish and separate the top and bottom contours of SEM images. Additionally, the model not only removes the abundant edges but also repairs the local discontinuity caused by imperfect process and measuring technique.","PeriodicalId":165983,"journal":{"name":"2020 International Workshop on Advanced Patterning Solutions (IWAPS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126188307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel SEM image based advanced lithography process control providing quick feedback","authors":"Xuedong Fan, Lijun Chen, Jun Zhu, Haichang Zheng, Xiaolong Wang, Yancong Ge, Yu Zhang, A. Vikram, Guojie Cheng, Hui Wang, Qing Zhang, Wenkui Liao","doi":"10.1109/IWAPS51164.2020.9286802","DOIUrl":"https://doi.org/10.1109/IWAPS51164.2020.9286802","url":null,"abstract":"The stability of photolithography process tool is the fundamental to the fabrication of semiconductor devices. Several process control methods are employed to qualify and then monitor every single process layer at the photolithography stage. The CDSEM (Critical Dimension Scanning Electron Microscope) measurements on metrology features and the optical inspection and DRSEM (Defect Review Scanning Electron Microscope) on device features for Process Window Qualification is part of the conventional process control. Here we employed a novel PSD (Process Stability Diagnosis) solution that provides detailed Bossung plot like analysis on device features using CDSEM or DRSEM images. This provides quick insight into the process behavior and also identifies the root cause for any deviation. In this paper we will discuss about monitoring the depth of focus and the best focus as well as diagnosis for lens parameters like astigmatism and spherical aberration. We describe the method of extracting relevant parameters from high resolution images and establishing an automatic monitor for these critical indicators.","PeriodicalId":165983,"journal":{"name":"2020 International Workshop on Advanced Patterning Solutions (IWAPS)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of lenses aberration on CD and position for low kl lithography","authors":"Tie Li, Hsuan-Cheng Lai, Jie Xu, Xiaodong Meng","doi":"10.1109/IWAPS51164.2020.9286800","DOIUrl":"https://doi.org/10.1109/IWAPS51164.2020.9286800","url":null,"abstract":"In low $mathrm{k}_{1}$ regime, the lithography resolution is close to the optical diffraction limit. Ignoring the impact of lenses aberration for such precise lithography processes is questionable. The aberration of lithography lenses in circular pupil is typically represented by Zernike polynomials. In theory, even Zernike aberrations mainly induce pattern critical dimension (CD) variation and odd Zernike aberrations mainly induce pattern position variation. We study the CD and position simulations in various lithography configurations, such as numerical aperture (NA), illumination sigma, defocus, wafer stack, and pattern pitch. Based on the above data, this paper comprehensively discusses the impact of each Zernike aberration on pattern CD and position. The conclusion is useful to accurately predict pattern CD and position variations and to further implement aberration-aware optical proximity correction (OPC) for actual lithography lenses.","PeriodicalId":165983,"journal":{"name":"2020 International Workshop on Advanced Patterning Solutions (IWAPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114957404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chao Fang, Jinyu Qiu, Pandeng Xuan, Yaobin Feng, Lingyi Guo, Jiahui He, Jincheng Pei, Gang Xu, Jin Zhu
{"title":"Novel Target Design for Thick Resist Layers Overlay Measurement Improvement","authors":"Chao Fang, Jinyu Qiu, Pandeng Xuan, Yaobin Feng, Lingyi Guo, Jiahui He, Jincheng Pei, Gang Xu, Jin Zhu","doi":"10.1109/IWAPS51164.2020.9286812","DOIUrl":"https://doi.org/10.1109/IWAPS51164.2020.9286812","url":null,"abstract":"Metrology target quality highly impacts overlay measurement accuracy and robustness. Factors that can affect target quality include target pattern symmetry, pattern uniformity over one target, and target quality variation within wafer, wafer to wafer and lot to lot. Historically, multiple studies have revealed how metrology pattern asymmetry causes overlay measurement inaccuracy issues. Target design can address pattern asymmetry induced overlay error, to some extent, by providing a process compatible design. Metrology targets synchronously consider process compatibility, metrology system capability and target design basic rule. In some cases, the minimum design rule is constrained by process condition. Staircase loop layers of the 3D-NAND integration process are the typical case where resist thickness limits the accessible minimum CD/pitch. The required larger CD/pitch sometimes even violates the basic design rule of the metrology target. In this study, a novel target design is applied to address thick photo-resist processes. Compared to the baseline, the new target design helps address overlay error induced by pattern asymmetry, thus improving thick resist layers overlay measurement accuracy.","PeriodicalId":165983,"journal":{"name":"2020 International Workshop on Advanced Patterning Solutions (IWAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130509703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast mask near-field calculation using fully convolution network","authors":"Jiaxin Lin, Lisong Dong, Taian Fan, Xu Ma, Rui Chen, Yayi Wei","doi":"10.1109/IWAPS51164.2020.9286805","DOIUrl":"https://doi.org/10.1109/IWAPS51164.2020.9286805","url":null,"abstract":"Near-field calculation for thick mask is a fundamental task in lithography simulations. This paper proposes a fully convolution network (FCN) method to improve the efficiency of three-dimensional (3D) mask near-field calculation compared to the rigorous electromagnetic field (EMF) simulation methods. Taking into account the 3D mask effects, the network is trained based on a set of mask samples and the corresponding near-field data obtained by the EMF simulator. During the testing stage, the trained FCN is used to rapidly predict the diffraction near-field of the testing mask patterns. The performance of the proposed FCN approach is evaluated by simulations based on EUV lithography.","PeriodicalId":165983,"journal":{"name":"2020 International Workshop on Advanced Patterning Solutions (IWAPS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}