Abstract:
The subject matter disclosed herein relates to determining a lithographic set point using simulations of optical proximity correction verification. In one embodiment, a computer-implemented method of determining a lithographic tool set point for a lithographic process is disclosed. The method may include: providing a model of a production lithographic process including simulations of printed shapes; analyzing the model of the production lithographic process to determine whether a set of structures on a production mask used in the production lithographic process to create the printed shapes will fail under a plurality of set points; determining an operating region of set points where the set of structures on the production mask does not fail; and establishing a set point location within the operating region based upon a set point selection function.
Abstract:
The subject matter disclosed herein relates to determining a lithographic set point using simulations of optical proximity correction verification. In one embodiment, a computer-implemented method of determining a lithographic tool set point for a lithographic process is disclosed. The method may include: providing a model of a production lithographic process including simulations of printed shapes; analyzing the model of the production lithographic process to determine whether a set of structures on a production mask used in the production lithographic process to create the printed shapes will fail under a plurality of set points; determining an operating region of set points where the set of structures on the production mask does not fail; and establishing a set point location within the operating region based upon a set point selection function.
Abstract:
The present invention provides a method and computer program product for designing an electrically testable pattern that is based on patterns derived from the desired chip layout to be printed. Such electrical test patterns are based on the features within a region of influence around critical sites. The critical sites may be identified, for example, by processing the chip layout through an OPC verification tool that flags potential failure sites. The electrical test pattern is formed from features within an region of influence (ROI) around the critical site, and also include electrical feed lines at terminal ends of one or more features having an electrical characteristic that is sensitive to changes in the printed environment of the critical site. The feed lines may be locate on the same or a different layer than the critical site, depending on the chip design. The electrical pattern is further defined by retaining features within a second trim region such that the printed features within the ROI are not substantially modified by the absence of features outside the second trim region.
Abstract:
The present invention provides a method and computer program product for designing an electrically testable pattern that is based on patterns derived from the desired chip layout to be printed. Such electrical test patterns are based on the features within a region of influence around critical sites. The critical sites may be identified, for example, by processing the chip layout through an OPC verification tool that flags potential failure sites. The electrical test pattern is formed from features within an region of influence (ROI) around the critical site, and also include electrical feed lines at terminal ends of one or more features having an electrical characteristic that is sensitive to changes in the printed environment of the critical site. The feed lines may be locate on the same or a different layer than the critical site, depending on the chip design. The electrical pattern is further defined by retaining features within a second trim region such that the printed features within the ROI are not substantially modified by the absence of features outside the second trim region.
Abstract:
An automated system for analyzing mask defects in a semiconductor manufacturing process is presented. This system combines results from an inspection tool and design layout data from a design data repository corresponding to each mask layer being inspected with a computer program and a predetermined rule set to determine when a defect on a given mask layer has occurred. Mask inspection results include the presence, location and type (clear or opaque) of defects. Ultimately, a determination is made as to whether to scrap, repair or accept a given mask based on whether the defect would be likely to cause product failure. Application of the defect inspection data to the design layout data for each mask layer being inspected prevents otherwise acceptable wafer masks from being scrapped when the identified defects are not in critical areas of the mask.
Abstract:
An automated system for analyzing mask defects in a semiconductor manufacturing process is presented. This system combines results from an inspection tool and design layout data from a design data repository corresponding to each mask layer being inspected with a computer program and a predetermined rule set to determine when a defect on a given mask layer has occurred. Mask inspection results include the presence, location and type (clear or opaque) of defects. Ultimately, a determination is made as to whether to scrap, repair or accept a given mask based on whether the defect would be likely to cause product failure. Application of the defect inspection data to the design layout data for each mask layer being inspected prevents otherwise acceptable wafer masks from being scrapped when the identified defects are not in critical areas of the mask.
Abstract:
An automated system for analyzing mask defects in a semiconductor manufacturing process is presented. This system combines results from an inspection tool and design layout data from a design data repository corresponding to each mask layer being inspected with a computer program and a predetermined rule set to determine when a defect on a given mask layer has occurred. Mask inspection results include the presence, location and type (clear or opaque) of defects. Ultimately, a determination is made as to whether to scrap, repair or accept a given mask based on whether the defect would be likely to cause product failure. Application of the defect inspection data to the design layout data for each mask layer being inspected prevents otherwise acceptable wafer masks from being scrapped when the identified defects are not in critical areas of the mask.
Abstract:
A method for including etch bias corrections in pre-processing of integrated circuit design data to compensate for deviations introduced during lithographic printing and etching. The design data is segmented, and etch bias corrections are applied to the segments based on their proximity to adjacent design features. Adjusted or corrected design data is produced which may be used to create a mask which includes etch bias corrections for better fidelity and reproduction of the original design in the etching step. Etch bias corrections may also be applied based upon characteristics of regions defined in the design, or on a pattern density of the design.
Abstract:
Method for effecting edge bias correction of topography-induced linewidth variations which are encountered in printed or integrated circuits on substrates or semiconductor devices for electronic packages. The method modifies data for current levels which is predicated on prior level data and models, as to the manner in which topography will affect the resist and/or antireflective coating (ARC) thicknesses, so as to improve upon linewidth (LW) control and, in general, imparting improved processing windows. The method can be implemented in the form of computer-executable instructions which are embodied in one or more program modules stored on computer-usable media.
Abstract:
A method and system embodying the present invention for predicting systematic overlay affects in semiconductor lithography. This method is a feed-forward method, based on correlation of current and prior aligned levels, to predict optimum overlay offsets for a given lot. Instead of using population averaging, which ignores process variability, it acknowledges the variability and uses prior measurements to advantage. The principle, backed by production data, is that “systematic” overlay errors are just that: Image placement errors which persist through processing and will be predictable through time and processing.