28 March 2017 A fast process development flow by applying design technology co-optimization
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Beyond 40 nm technology node, the pattern weak points and hotspot types increase dramatically. The typical patterns for lithography verification suffers huge turn-around-time (TAT) to handle the design complexity. Therefore, in order to speed up process development and increase pattern variety, accurate design guideline and realistic design combinations are required. This paper presented a flow for creating a cell-based layout, a lite realistic design, to early identify problematic patterns which will negatively affect the yield.

A new random layout generating method, Design Technology Co-Optimization Pattern Generator (DTCO-PG), is reported in this paper to create cell-based design. DTCO-PG also includes how to characterize the randomness and fuzziness, so that it is able to build up the machine learning scheme which model could be trained by previous results, and then it generates patterns never seen in a lite design. This methodology not only increases pattern diversity but also finds out potential hotspot preliminarily.

This paper also demonstrates an integrated flow from DTCO pattern generation to layout modification. Optical Proximity Correction, OPC and lithographic simulation is then applied to DTCO-PG design database to detect hotspots and then hotspots or weak points can be automatically fixed through the procedure or handled manually. This flow benefits the process evolution to have a faster development cycle time, more complexity pattern design, higher probability to find out potential hotspots in early stage, and a more holistic yield ramping operation.
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Yi-Chieh Chen, Yi-Chieh Chen, Shin-Shing Yeh, Shin-Shing Yeh, Tsong-Hua Ou, Tsong-Hua Ou, Hung-Yu Lin, Hung-Yu Lin, Yung-Ching Mai, Yung-Ching Mai, Lawrence Lin, Lawrence Lin, Jun-Cheng Lai, Jun-Cheng Lai, Ya Chieh Lai, Ya Chieh Lai, Wei Xu, Wei Xu, Philippe Hurat, Philippe Hurat, } "A fast process development flow by applying design technology co-optimization", Proc. SPIE 10148, Design-Process-Technology Co-optimization for Manufacturability XI, 1014815 (28 March 2017); doi: 10.1117/12.2257973; https://doi.org/10.1117/12.2257973

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