Paper
13 December 2021 Lithographic exposure latitude aware source and mask optimization
Author Affiliations +
Proceedings Volume 12073, 10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced and Extreme Micro-Nano Manufacturing Technologies; 1207302 (2021) https://doi.org/10.1117/12.2604844
Event: Tenth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2021), 2021, Chengdu, China
Abstract
Source and mask optimization (SMO) technology is an increasingly important resolution enhancement technology (RET) that can optimize the source and mask. Various SMO methods have made great progress in terms of computational efficiency and pattern fidelity. Besides, process window (PW) is also an important indicator to evaluate the performance of lithography imaging. PW consists of exposure latitude (EL) and depth of focus (DOF). However, currently, there are few SMO methods that can directly improve EL. In this paper, we propose an EL aware SMO (ELASMO) method by innovating a new penalty function for improving the exposure latitude. Compared to the conventional SMO, the proposed ELASMO can significantly enhance aerial image contrast and enlarge the exposure latitude from 5% to 11% under the premise of ensuring imaging fidelity. ELASMO achieves high-fidelity lithography in a larger process window.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lulu Zou, Lihui Liu, Yiyu Sun, Pengzhi Wei, Miao Yuan, Zhaoxuan Li, Yaning Li, and Yanqiu Li "Lithographic exposure latitude aware source and mask optimization", Proc. SPIE 12073, 10th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced and Extreme Micro-Nano Manufacturing Technologies, 1207302 (13 December 2021); https://doi.org/10.1117/12.2604844
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KEYWORDS
Source mask optimization

Lithography

Photomasks

Resolution enhancement technologies

Semiconducting wafers

Image processing

Lithium

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