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 mask/wafer control structure and an algorithm for placement thereof provide for data placement of measurement control structures, called a PLS, Process limiting Structure, on a mask and a plurality of chips on the wafer which provide for tighter control of both mask manufacture and wafer production by providing the most critical design structures for measurement during creation of the mask, and in the photolithography and etch processes. The PLS structures are located at multiple locations throughout the chip, and so they receive the same data preparation as the chip, and measurement tools are able to measure the same features at each fabrication step from fabrication of the mask to final formation of the etched features. Manufacturing control and the interlock between the wafer fabrication and the mask fabrication are enhanced, allowing for improved quality of the final product.

Abstract: A mask/wafer control structure and an algorithm for placement thereof provide for data placement of measurement control structures, called a PLS, Pitch and Linearity Structure, on a mask and a plurality of chips on the wafer which provide for tighter control of both mask manufacture and wafer production by providing the most critical design structures for measurement during creation of the mask, and in the photolithography and etch processes. The PLS structures are located at multiple locations throughout the chip, so they receive the same data preparation as the chip, and measurement tools are able to measure the same features at each fabrication step from fabrication of the mask to final formation of the etched features.

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.