Better prediction on patterning failure mode with hotspot aware OPC modeling

Chih-I Wei; Stewart Wu; Yunfei Deng; Gurdaman Khaira; Ir Kusnadi; Germain Fenger; Seulki Kang; Yosuke Okamoto; Kotaro Maruyama; Yuichiro Yamazaki; Sayantan Das; Sandip Halder; Werner Gillijns; Gian Lorusso

doi:10.1117/12.2583837

22 February 2021 Better prediction on patterning failure mode with hotspot aware OPC modeling

Chih-I Wei, Stewart Wu, Yunfei Deng, Gurdaman Khaira, Ir Kusnadi, Germain Fenger, Seulki Kang, Yosuke Okamoto, Kotaro Maruyama, Yuichiro Yamazaki, Sayantan Das, Sandip Halder, Werner Gillijns, Gian Lorusso

Author Affiliations +

Proceedings Volume 11611, Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV; 1161112 (2021) https://doi.org/10.1117/12.2583837
Event: SPIE Advanced Lithography, 2021, Online Only

Abstract

A method to perform Optical Proximity Correction (OPC) model calibration that is also sensitive to lithography failure modes and takes advantage of the large field of view (LFoV) e-beam inspection, is presented. To improve the coverage of the OPC model and the accuracy of the after development inspection (ADI) pattern hotspots prediction - such as trench pinching or bridging in complex 2D routing patterns - a new sampling plan with additional hotpot locations and the corresponding contours input data is introduced. The preliminary inspected hotspots can be added to the traditional OPC modeling flow in order to provide extra information for a hotspot aware OPC model. A compact optical/resist 3D modeling toolkit is applied to interpret the impact of photoresist (PR) profiles, as well as accurate predictions of hotspot patterns occurring at the top or bottom of the PR. A contour-based modeling flow is also introduced that uses a site or edge based calibration engine, to better describe hotspot locations in the hotspot aware OPC model calibration. To quantify the improvement in pattern coverage in the modeling flow, feature vectors (FVs) analysis and comparisons between the conventional and the hotspot aware OPC models is also presented.[1] The time and cost of using conventional Critical Dimension Scanning Electron Microscope (CD-SEM) metrology to measure such a large amount of CD gauges are prohibitive. By contrast, using LFoV e-beam inspection with improved training algorithm to extract fine contours from wafer hotspots, a hotspot aware OPC model can predict ADI hotspots with a higher capture rate as compared to main feature OPC model. Presumably, a hotspot-aware modeling flow based on LFoV images/contours not only benefits users by improving the capture rate of the lithography defects, but also brings the advantages to the failure mode analysis for the post-etch stage.

Conference Presentation

Citation Download Citation

Chih-I Wei, Stewart Wu, Yunfei Deng, Gurdaman Khaira, Ir Kusnadi, Germain Fenger, Seulki Kang, Yosuke Okamoto, Kotaro Maruyama, Yuichiro Yamazaki, Sayantan Das, Sandip Halder, Werner Gillijns, and Gian Lorusso "Better prediction on patterning failure mode with hotspot aware OPC modeling", Proc. SPIE 11611, Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV, 1161112 (22 February 2021); https://doi.org/10.1117/12.2583837

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available