{"title":"Edge Effect Compensation Algorithm for Eddy Current Endpoint Detection System in the CMP Process","authors":"Li Ting;Zhang Kang;Wu Jianwei;Tan Jiubin","doi":"10.1109/TSM.2026.3705753","DOIUrl":null,"url":null,"abstract":"In the integrated circuit manufacturing process, the wafer profile control in the copper chemical mechanical planarization (Cu CMP) exhibits higher uncertainty compared to oxide chemical mechanical planarization, primarily due to the predominant influence of chemical reactions rather than mechanical friction. Real-time monitoring of copper film thickness using eddy current technology is an effective method for ensuring the accuracy of polishing pressure feedback adjustment system in CMP process. However, the edge effect causes attenuation of the eddy-current signal, distorting the measurement of wafer edge thickness and increasing the risk of residual defects in Cu CMP. The objective of this study is to investigate the mechanism of eddy current edge effect through numerical simulation and online experiments, and propose an optimization methodology applicable in IC manufacturing. The key factors that were evaluated include the coil and ferrite structure, excitation frequency of the eddy current sensor, position of wafer radius, thickness of copper film, and kinematic relationship between sensor and wafer. A compensation coefficient matrix is proposed to optimize measurement distortion caused by the edge effects. The feasibility and accuracy of this method have been verified in the practical application of the Cu CMP process.","PeriodicalId":451,"journal":{"name":"IEEE Transactions on Semiconductor Manufacturing","volume":"39 3","pages":"549-554"},"PeriodicalIF":2.5000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Semiconductor Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11573776/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/22 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
In the integrated circuit manufacturing process, the wafer profile control in the copper chemical mechanical planarization (Cu CMP) exhibits higher uncertainty compared to oxide chemical mechanical planarization, primarily due to the predominant influence of chemical reactions rather than mechanical friction. Real-time monitoring of copper film thickness using eddy current technology is an effective method for ensuring the accuracy of polishing pressure feedback adjustment system in CMP process. However, the edge effect causes attenuation of the eddy-current signal, distorting the measurement of wafer edge thickness and increasing the risk of residual defects in Cu CMP. The objective of this study is to investigate the mechanism of eddy current edge effect through numerical simulation and online experiments, and propose an optimization methodology applicable in IC manufacturing. The key factors that were evaluated include the coil and ferrite structure, excitation frequency of the eddy current sensor, position of wafer radius, thickness of copper film, and kinematic relationship between sensor and wafer. A compensation coefficient matrix is proposed to optimize measurement distortion caused by the edge effects. The feasibility and accuracy of this method have been verified in the practical application of the Cu CMP process.
期刊介绍:
The IEEE Transactions on Semiconductor Manufacturing addresses the challenging problems of manufacturing complex microelectronic components, especially very large scale integrated circuits (VLSI). Manufacturing these products requires precision micropatterning, precise control of materials properties, ultraclean work environments, and complex interactions of chemical, physical, electrical and mechanical processes.