Tracking of design related defects hidden by random defectivity in production environment

J. C. Le Denmat; V. Charbois; L. Tetar; M. C. Luche; G. Kerrien; F. Robert; E. Yesilada; F. Foussadier; L. Couturier; L. Karsenti; M. Geshel

doi:10.1117/12.848763

Translator Disclaimer

2 April 2010 Tracking of design related defects hidden by random defectivity in production environment

J. C. Le Denmat, V. Charbois, L. Tetar, M. C. Luche, G. Kerrien, F. Robert, E. Yesilada, F. Foussadier, L. Couturier, L. Karsenti, M. Geshel

Author Affiliations +

Proceedings Volume 7641, Design for Manufacturability through Design-Process Integration IV; 76410Y (2010) https://doi.org/10.1117/12.848763
Event: SPIE Advanced Lithography, 2010, San Jose, California, United States

Abstract

For mature technology nodes, main yield detractor is random defectivity. Nevertheless, some devices can show higher defectivity than rest of devices. Out of process accident, design related defect is one of suspected root cause. Also, design-based defect category is expected to increase as technology node decreases. Determining origin of these additional systematic defects is not easy as these defects are usually residual for technologies in production, not always predictable by OPC simulator (ex: void defect in active STI structure), and at least hidden by random defectivity after in-line wafer inspection control. In this paper, an automatic flow to track systematic defects within global defectivity is presented. This flow starts with a relevant selection of several inspection defect files for a given device. Then the Design Based Binning (DBB) tool performs a fine alignment of the whole multi wafer inspection data set with design file. The resulting aligned defect file is treated by an efficient pattern matching algorithm to generate a design-based binning (DBB) defect file. The integration of this output defect file into a Yield Management System (YMS) allows easy defect analysis and statistical correlation to electrical results. An example of design-based defects tracking analysis and their impact on yield of a mature technology node device is presented in this paper.

Citation Download Citation

J. C. Le Denmat, V. Charbois, L. Tetar, M. C. Luche, G. Kerrien, F. Robert, E. Yesilada, F. Foussadier, L. Couturier, L. Karsenti, and M. Geshel "Tracking of design related defects hidden by random defectivity in production environment", Proc. SPIE 7641, Design for Manufacturability through Design-Process Integration IV, 76410Y (2 April 2010); https://doi.org/10.1117/12.848763

ACCESS THE FULL ARTICLE