Paper
23 March 2020 Evaluating and correcting pattern variability induced by OPC within regular array layout
C. Gardin, R. La Greca, J. N. Pena, L. Depre, E. Sungauer
Author Affiliations +
Abstract
Over the past few years, patterning edge placement error (EPE) has been established as the key metric for patterning budget generation. In previous work [1] it has been shown that local variability of contact within 28nm node SRAM regular array accounts for more than 90% of total variability. Among the most obvious source of local variability, we can think of optical proximity correction (OPC), mask process, wafer process (litho and etch). If one would like to make breakdown between these sources, process related sources will be very measurement consuming to characterize, and even more complex to correct. On the opposite, OPC can be characterized computationally as well as corrected. Therefore, this paper proposes a computational method to evaluate and correct pattern variability induced by OPC within regular array layout. In a different field of application, array of pixels in imager SoC is very sensitive to pattern variability, especially when it is periodic. This is known as MURA effect, and many works have shown this effect in the field of flat panel display [2]. The challenge is similar in the field of image SoC. Once again, OPC variability is also a contributor to this effect. Therefore, array of pixels is also benefitting from the method proposed in this paper.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Gardin, R. La Greca, J. N. Pena, L. Depre, and E. Sungauer "Evaluating and correcting pattern variability induced by OPC within regular array layout", Proc. SPIE 11327, Optical Microlithography XXXIII, 113271C (23 March 2020); https://doi.org/10.1117/12.2551896
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical proximity correction

Imaging systems

Databases

Visualization

Imaging arrays

Logic

Optical lithography

Back to Top