Paper
20 October 2006 Sensitivity of a variable threshold model toward process and modeling parameters
Author Affiliations +
Abstract
The quality of model-based OPC correction depends strongly on how the model is calibrated in order to generate a resist image as close to the desired shapes as possible. As the k1 process factor decreases and design complexity increases, the correction accuracy and the model stability become more important. It is also assumed that the stability of one model can be tested when its response to a small variation in one or several parameters is small. In order to quantify this, the small-variation method has been tested on a variable threshold based model initially optimized for the 65nm node using measurements done with a test pattern mask. This method consists of introducing small variations to one input model parameter and analyzing the induced effects on the simulated edge placement error (EPE). In this paper, we study the impact of small changes in the optical and resist parameters (focus settings, inner and outer partial coherent factors, NA, resist thickness) on the model stability. And then, we quantify the sensitivity of the model towards each parameter shift. We also study the effects of modeling parameters (kernel count, model fitness, optical diameter) on the resulting simulated EPE. This kind of study allows us to detect coverage or process window problems. The process and modeling parameters have been modified one by one. The ranges of variations correspond to those observed during a typical experiment. Then the difference in simulated EPE between the reference model and the modified one has been calculated. Simulations show that the loss in model accuracy is essentially caused by changes in focus, outer sigma and NA and lower values of optical diameter and kernel count. Model results agree well with a production layout.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mazen Saied, Franck Foussadier, Yorick Trouiller, Jérôme Belledent, Kevin Lucas, Isabelle Schanen, Amandine Borjon, Christophe Couderc, Christian Gardin, Laurent LeCam, Yves Rody, Frank Sundermann, Jean-Christophe Urbani, and Emek Yesilada "Sensitivity of a variable threshold model toward process and modeling parameters", Proc. SPIE 6349, Photomask Technology 2006, 634919 (20 October 2006); https://doi.org/10.1117/12.686666
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KEYWORDS
Calibration

Process modeling

Data modeling

Optical proximity correction

Mathematical modeling

Photoresist processing

Model-based design

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