Claims Analysis
Total Claims: 23
Claim 1
Independent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers containing devices, comprising: an in-line fabrication inspection tool inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; a design review station inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; and a yield management station, operatively connected to said in-line fabrication inspection tool and to said design review station, retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and further determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 2
Dependent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers containing devices, comprising: an in-line fabrication inspection tool inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; a design review station inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; and a yield management station, operatively connected to said in-line fabrication inspection tool and to said design review station, retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and further determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 3
Dependent Claim
71 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) initial sensitive areas for each of the at least two layers responsive to the second information and a reference particle size, and (2) sensitive areas for each of the at least two layers responsive to the initial sensitive areas and the particle size for each of the at least two layers.
Claim 4
Dependent Claim
72 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein: (1) said yield management station determines sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) the defect sensitive area index is determined for each of the at least two layers responsive to the sensitive areas and the particle size.
Claim 5
Dependent Claim
25 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein the at least two layers are located in different semiconductor wafers.
Claim 6
Dependent Claim
61 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines that a first layer of the at least two layers is of higher priority when the first layer has a higher number of killer defects and a higher defect sensitive area index than a remaining layer of the at least two layers.
Claim 7
Dependent Claim
90 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) that a first layer of the at least two layers is of higher priority when the first layer has a higher total defect sensitive area and a higher defect sensitive area index than a remaining layer of the at least two layers.
Claim 8
Dependent Claim
89 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) that a first layer of the at least two layers is of higher priority when the first layer has a higher total defect sensitive area and a higher number of particles than a remaining layer of the at least two layers.
Claim 9
Dependent Claim
90 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) that a first layer of the at least two layers is of higher priority when the first layer has a higher total defect sensitive area and a higher number of killer defects than a remaining layer of the at least two layers.
Claim 10
Dependent Claim
60 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines that a first layer of the at least two layers is of higher priority when the first layer has a higher number of killer defects and a higher number of particles than a remaining layer of the at least two layers.
Claim 11
Dependent Claim
105 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) that a first layer of the at least two layers is of higher priority when the first layer has at least two of a higher total defect sensitive area, a higher number of particles, a higher number of killer defects, and a higher defect sensitive area index than a remaining layer of the at least two layers.
Claim 12
Dependent Claim
105 words
A real-time in-line defect disposition and yield forecasting system according to claim 1, wherein said yield management station determines (1) sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) that a first layer of the at least two layers is of higher priority when the first layer has at least three of a higher total defect sensitive area, a higher number of particles, a higher number of killer defects, and a higher defect sensitive area index than a remaining layer of the at least two layers.
Claim 13
Dependent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers each with devices, comprising: an in-line fabrication inspection tool inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; a design review station inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; and yield management means, operatively connected to said in-line fabrication inspection tool and to said design review station, for retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 14
Dependent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers each with devices, comprising: an in-line fabrication inspection tool inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; a design review station inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; and yield management means, operatively connected to said in-line fabrication inspection tool and to said design review station, for retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 15
Dependent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers each with devices, comprising: first inspection means for inspecting at least two layers of the semiconductor wafer and for producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; second inspection means for inspecting the at least two layers of the semiconductor wafer and for producing second information including layouts of each of the at least two layers; and third means, operatively connected to said in-line fabrication inspection tool and to said design review station, for retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 16
Dependent Claim
191 words
A real-time in-line defect disposition and yield forecasting system for a semiconductor wafer having layers each with devices, comprising: first inspection means for inspecting at least two layers of the semiconductor wafer and for producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; second inspection means for inspecting the at least two layers of the semiconductor wafer and for producing second information including layouts of each of the at least two layers; and third means, operatively connected to said in-line fabrication inspection tool and to said design review station, for retrieving the first information and the second information, determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information, and determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 17
Dependent Claim
185 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; (b) inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; (c) retrieving the first information produced by said inspecting step (a) and the second information produced by said inspecting step (b); (d) determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information; and (e) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 18
Dependent Claim
185 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and producing first information including particle size, particle location and number of particles introduced therein for each of the at least two layers; (b) inspecting the at least two layers of the semiconductor wafer and producing second information including layouts of each of the at least two layers; (c) retrieving the first information produced by said inspecting step (a) and the second information produced by said inspecting step (b); (d) determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information; and (e) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 19
Dependent Claim
109 words
A real-time in-line defect disposition and yield forecasting method according to claim 14, wherein said method further comprises the steps of: (1) determining sensitive areas for each of the at least two layers responsive to the layouts and the particle size for each of the at least two layers, and (2) determining that a first layer of the at least two layers is of higher priority when the first layer has at least two of a higher total defect sensitive area, a higher number of particles, a higher number of killer defects, and a higher defect sensitive area index than a remaining layer of the at least two layers.
Claim 20
Dependent Claim
148 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and producing first information including particle characteristics, the particle characteristics including particle size, particle location and number of particles and second information including layouts for each of the at least two layers; (b) determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information; and (c) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 21
Dependent Claim
148 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and producing first information including particle characteristics, the particle characteristics including particle size, particle location and number of particles and second information including layouts for each of the at least two layers; (b) determining at least one of a number of killer defects for the devices in each of the at least two layers and a defect sensitive area index for each of the at least two layers responsive to the first and second information; and (c) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers.
Claim 22
Dependent Claim
136 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and determining at least one of a number of killer defects for the devices and a defect sensitive area index for each of the at least two layers responsive to particle size, particle location, number of particles and device layouts in the at least two layers; and (b) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers, and analyzing at least one of the at least two layers in accordance with the determined priority.
Claim 23
Dependent Claim
136 words
A real-time in-line defect disposition and yield forecasting method for a semiconductor wafer having layers each with devices, said method comprising the steps of: (a) inspecting at least two layers of the semiconductor wafer and determining at least one of a number of killer defects for the devices and a defect sensitive area index for each of the at least two layers responsive to particle size, particle location, number of particles and device layouts in the at least two layers; and (b) determining a priority for analyzing each of the at least two layers responsive to at least one of the number of killer defects and the defect sensitive area index for each of the at least two layers, and analyzing at least one of the at least two layers in accordance with the determined priority.