Year: 2006
Type: conference-paper
Abstract: Recently, as the design rule shrinks so does the CD tolerance. Therefore, the importance of simulation and OPC accuracy is increasing. In the past, when pattern size was large, rule-based OPC was acceptable but as the design rule shrinks accuracy of OPC turned to model-based OPC and almost all device uses this method. Model-based OPC is based on parameter fitting it has Model-Residual-Error (MRE). Due to this error the accuracy of the model has limitations. Usually variable-threshold or vector model is applied to the model in order to cut down the MRE. But still, size of the MRE is too large compared to CD tolerance. Currently, further development of model-based OPC resulted in creation of both model and rule-based OPC. This is called Hybrid OPC method. Hybrid-OPC method is based on model OPC but MRE can be lowered using rule bias to retarget the design data. But this method makes it difficult to retarget the design data in that rule biasing result is hard to predict after the model-based OPC operation. In this paper, we propose New Hybrid OPC method that feeds back the MRE calibrated data set to model-based OPC method. By using this method, better OPC model can be made. We will be presenting the result after the method has been applied on sub-60nm device and the capability of this method.
DOI: 10.1117/12.656853
Institution: SK Hynix (South Korea)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2065616705