
FOLLOWUS
Institute of VLSI Design, Zhejiang University, Hangzhou 310027, China
Xiao-hua LUO, E-mail: luoxh@vlsi.zju.edu.cn
收稿:2011-08-22,
修回:2012-;4-;9,
纸质出版:2012-05
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Scratch-concerned yield modeling for IC manufacturing involved with a chemical mechanical polishing process[J]. 信息与电子工程前沿(英文), 2012,13(5):376-384.
Jiao-jiao ZHU, Xiao-hua LUO, Li-sheng CHEN, et al. Scratch-concerned yield modeling for IC manufacturing involved with a chemical mechanical polishing process[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(5): 376-384.
Scratch-concerned yield modeling for IC manufacturing involved with a chemical mechanical polishing process[J]. 信息与电子工程前沿(英文), 2012,13(5):376-384. DOI: 10.1631/jzus.C1100242.
Jiao-jiao ZHU, Xiao-hua LUO, Li-sheng CHEN, et al. Scratch-concerned yield modeling for IC manufacturing involved with a chemical mechanical polishing process[J]. Frontiers of Information Technology & Electronic Engineering, 2012, 13(5): 376-384. DOI: 10.1631/jzus.C1100242.
In existing integrated circuit (IC) fabrication methods
the yield is typically limited by defects generated in the manufacturing process. In fact
the yield often shows a good correlation with the type and density of the defect. As a result
an accurate defect limited yield model is essential for accurate correlation analysis and yield prediction. Since real defects exhibit a great variety of shapes
to ensure the accuracy of yield prediction
it is necessary to select the most appropriate defect model and to extract the critical area based on the defect model. Considering the realistic outline of scratches introduced by the chemical mechanical polishing (CMP) process
we propose a novel scratch-concerned yield model. A linear model is introduced to model scratches. Based on the linear model
the related critical area extraction algorithm and defect density distribution are discussed. Owing to higher correspondence with the realistic outline of scratches
the linear defect model enables a more accurate yield prediction caused by scratches and results in a more accurate total product yield prediction as compared to the traditional circular model.
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