Automated sample plan selection for OPC modeling

Nathalie Casati; Maria Gabrani; Ramya Viswanathan; Zikri Bayraktar; Om Jaiswal; David DeMaris; Amr Y. Abdo; James Oberschmidt; Andreas Krause

doi:10.1117/12.2045461

31 March 2014 Automated sample plan selection for OPC modeling

Nathalie Casati, Maria Gabrani, Ramya Viswanathan, Zikri Bayraktar, Om Jaiswal, David DeMaris, Amr Y. Abdo, James Oberschmidt, Andreas Krause

Author Affiliations +

Proceedings Volume 9052, Optical Microlithography XXVII; 90520J (2014) https://doi.org/10.1117/12.2045461
Event: SPIE Advanced Lithography, 2014, San Jose, California, United States

Abstract

It is desired to reduce the time required to produce metrology data for calibration of Optical Proximity Correction (OPC) models and also maintain or improve the quality of the data collected with regard to how well that data represents the types of patterns that occur in real circuit designs. Previous work based on clustering in geometry and/or image parameter space has shown some benefit over strictly manual or intuitive selection, but leads to arbitrary pattern exclusion or selection which may not be the best representation of the product. Forming the pattern selection as an optimization problem, which co-optimizes a number of objective functions reflecting modelers’ insight and expertise, has shown to produce models with equivalent quality to the traditional plan of record (POR) set but in a less time.

Citation Download Citation

Nathalie Casati, Maria Gabrani, Ramya Viswanathan, Zikri Bayraktar, Om Jaiswal, David DeMaris, Amr Y. Abdo, James Oberschmidt, and Andreas Krause "Automated sample plan selection for OPC modeling", Proc. SPIE 9052, Optical Microlithography XXVII, 90520J (31 March 2014); https://doi.org/10.1117/12.2045461

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