Alignment through thick Si layer for high resolution patterning on bonded wafers with tight overlay margin using immersion lithography

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Alignment through thick Si layer for high resolution patterning on bonded wafers with tight overlay margin using immersion lithography
Title:
Alignment through thick Si layer for high resolution patterning on bonded wafers with tight overlay margin using immersion lithography
Journal Title:
2023 IEEE 73rd Electronic Components and Technology Conference (ECTC)
Keywords:
Publication Date:
03 August 2023
Citation:
Sundaram, A., Tew, C. K., Tan, G. W., Fu, Y.-H., Li, H., Venkataraman, N., Rao, B. C., & Singh, N. (2023, May). Alignment through thick Si layer for high resolution patterning on bonded wafers with tight overlay margin using immersion lithography. 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC). https://doi.org/10.1109/ectc51909.2023.00197
Abstract:
Advanced heterogeneous integration involves the stacking of multiple devices using direct bond interconnect processes to achieve improved functionality. Typical fabrication sequences may require downstream photolithography patterning after wafer-to-wafer bonding and silicon wafer thinning. Precise alignment for this patterning process to achieve high overlay accuracy needs to be done through thick silicon layers, which is difficult due to alignment signal attenuation through silicon. To overcome this challenge, special alignment layer cavities are often printed. In this study, we have demonstrated that less than 100 nm overlay can be achieved in cavity-free processes using alignment filters available in conventional immersion lithography tools. This creates new opportunities for simplifying wafer stacking process flows in advanced packaging research.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
2377-5726
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