Abstract: This application discloses a computing system to simulate a wafer image based on a mandrel mask and a block mask to be utilized to print a final wafer image on a substrate. To simulate the wafer image the computing system can estimate dummy sidewalls based on the mandrel mask, estimate contours of the block mask, and determine the simulated wafer image based on differences between the dummy sidewalls and the estimated contours of the block mask. The computing system can compare the simulated wafer image against a target wafer image in a layout design to identify hotspots where the simulated wafer image deviates from the target wafer image. Based on the identified hotspots, the computing system can modify the target wafer image in the layout design, prioritize edge modification in a subsequent optical proximity correction process, or modify computation of image error, which drives the optical proximity correction process.

Abstract: This application discloses a computing system to simulate a wafer image based on a mandrel mask and a block mask to be utilized to print a final wafer image on a substrate. To simulate the wafer image the computing system can estimate dummy sidewalls based on the mandrel mask, estimate contours of the block mask, and determine the simulated wafer image based on differences between the dummy sidewalls and the estimated contours of the block mask. The computing system can compare the simulated wafer image against a target wafer image in a layout design to identify hotspots where the simulated wafer image deviates from the target wafer image. Based on the identified hotspots, the computing system can modify the target wafer image in the layout design, prioritize edge modification in a subsequent optical proximity correction process, or modify computation of image error, which drives the optical proximity correction process.

Abstract: Disclosed are techniques for simulating and correcting the mask shadowing effect using the domain decomposition method (DDM). According to various implementations of the invention, DDM signals for an extreme ultraviolet (EUV) lithography mask are determined for a plurality of azimuthal angles of illumination. Base on the DDM signals, one or more layout designs for making the mask may be analyzed and/or modified.

Abstract: Disclosed are techniques for simulating and correcting the mask shadowing effect using the domain decomposition method (DDM). According to various implementations of the invention, DDM signals for an extreme ultraviolet (EUV) lithography mask are determined for a plurality of azimuthal angles of illumination. Base on the DDM signals, one or more layout designs for making the mask may be analyzed and/or modified.

Abstract: After layout design data has been modified using an OPC process, a repair flow is initiated. This repair flow includes analyzing the modified data to identify any remaining or new potential print errors in the layout data. Regions then are formed around the identified potential print errors, and a subsequent OPC process is performed only on the data within these regions using a different set of process parameters from the process parameters employed by the initial OPC process. This repair flow is iteratively repeated, where a different set of process parameter values for the subsequent OPC process is used during each iteration.

Abstract: After layout design data has been modified using an OPC process, a repair flow is initiated. This repair flow includes analyzing the modified data to identify any remaining or new potential print errors in the layout data. Regions then are formed around the identified potential print errors, and a subsequent OPC process is performed only on the data within these regions using a different set of process parameters from the process parameters employed by the initial OPC process. This repair flow is iteratively repeated, where a different set of process parameter values for the subsequent OPC process is used during each iteration.

Abstract: After layout design data has been modified using an OPC process, a repair flow is initiated. This repair flow includes analyzing the modified data to identify any remaining or new potential print errors in the layout data. Regions then are formed around the identified potential print errors, and a subsequent OPC process is performed only on the data within these regions using a different set of process parameters from the process parameters employed by the initial OPC process. This repair flow is iteratively repeated, where a different set of process parameter values for the subsequent OPC process is used during each iteration.