Share Email Print
cover

Proceedings Paper

Hybrid hotspot detection using regression model and lithography simulation
Author(s): Taiki Kimura; Tetsuaki Matsunawa; Shigeki Nojima; David Z. Pan
Format Member Price Non-Member Price
PDF $14.40 $18.00

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
Show Author Affiliations
Taiki Kimura, Toshiba Corp. (Japan)
Tetsuaki Matsunawa, Toshiba Corp. (Japan)
Shigeki Nojima, Toshiba Corp. (Japan)
David Z. Pan, The Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 9781:
Design-Process-Technology Co-optimization for Manufacturability X
Luigi Capodieci, Editor(s)

© SPIE. Terms of Use
Back to Top