
Proceedings Paper
Hybrid hotspot detection using regression model and lithography simulationFormat | Member Price | Non-Member Price |
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Paper Abstract
As minimum feature sizes shrink, unexpected hotspots appear on wafers. Therefore, it is important to detect and fix these hotspots at design stage to reduce development time and manufacturing cost. Currently, as the most accurate approach, lithography simulation is widely used to detect such hotspots. However, it is known to be time-consuming. This paper proposes a novel aerial image synthesizing method using regression and minimum lithography simulation for only hotspot detection. Experimental results show hotspot detection on the proposed method is equivalent compared with the results on the conventional hotspot detection method which uses only lithography simulation with much less computational cost.
Paper Details
Date Published: 22 March 2016
PDF: 10 pages
Proc. SPIE 9781, Design-Process-Technology Co-optimization for Manufacturability X, 97810C (22 March 2016); doi: 10.1117/12.2219318
Published in SPIE Proceedings Vol. 9781:
Design-Process-Technology Co-optimization for Manufacturability X
Luigi Capodieci, Editor(s)
PDF: 10 pages
Proc. SPIE 9781, Design-Process-Technology Co-optimization for Manufacturability X, 97810C (22 March 2016); doi: 10.1117/12.2219318
Show Author Affiliations
Published in SPIE Proceedings Vol. 9781:
Design-Process-Technology Co-optimization for Manufacturability X
Luigi Capodieci, Editor(s)
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