Share Email Print

Proceedings Paper

Improving model prediction accuracy for ILT with aggressive SRAFs
Author(s): Sunggon Jung; Woojoo Sim; Moongyu Jeong; Junghoon Ser; Sungwoo Lee; Seoung-woon Choi; Xin Zhou; Lan Luan; Thomas Cecil; Donghwan Son; Robert Gleason; David Kim
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

For semiconductor IC manufacturing at sub-30nm and beyond, aggressive SRAFs are necessary to ensure sufficient process window and yield. Models used for full chip Inverse Lithography Technology (ILT) or OPC with aggressive SRAFs must predict both CDs and sidelobes accurately. Empirical models are traditionally designed to fit SEMmeasured CDs, but may not extrapolate accurately enough for patterns not included in their calibration. This is particularly important when using aggressive SRAFs, because adjusting an empirical parameter to improve fit to CDSEM measurements of calibration patterns may worsen the model's ability to predict sidelobes reliably. Proper choice of the physical phenomena to include in the model can improve its ability to predict sidelobes as well as CDs of critical patterns on real design layouts. In the work presented here, we examine the effects of modeling certain chemical processes in resist. We compare how a model used for ILT fits SEM CD measurements and predicts sidelobes for patterns with aggressive SRAFs, with and without these physically-based modeling features. In addition to statistics from fits to the calibration data, the comparison includes hot-spot checks performed with independent OPC verification software, and SEM measurements of on-chip CD variation using masks created with ILT.

Paper Details

Date Published: 29 September 2010
PDF: 6 pages
Proc. SPIE 7823, Photomask Technology 2010, 782311 (29 September 2010); doi: 10.1117/12.864528
Show Author Affiliations
Sunggon Jung, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Woojoo Sim, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Moongyu Jeong, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Junghoon Ser, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Sungwoo Lee, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Seoung-woon Choi, SAMSUNG Electronics Co., Ltd. (Korea, Republic of)
Xin Zhou, Luminescent Technologies, Inc. (United States)
Lan Luan, Luminescent Technologies, Inc. (United States)
Thomas Cecil, Luminescent Technologies, Inc. (United States)
Donghwan Son, Luminescent Technologies, Inc. (United States)
Robert Gleason, Luminescent Technologies, Inc. (United States)
David Kim, Luminescent Technologies, Inc. (United States)

Published in SPIE Proceedings Vol. 7823:
Photomask Technology 2010
M. Warren Montgomery; Wilhelm Maurer, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?