Method and system for automated die yield prediction in semiconductor manufacturing
AssigneeAdvanced Micro Devices, Inc.
InventorsAlan Berezin, Reuben Quintanilla
Life of this patent
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AssigneeAdvanced Micro Devices, Inc.
InventorsAlan Berezin, Reuben Quintanilla
Estimating the term…
Method and a system for performing die yield prediction in cooperation with wafer scanning tools. A program analyzes data associated with defects on a wafer substrate, the substrate including multiple layers and multiple die. Files are read that contain defect data for selected layers of the substrate. The defect data includes defect type and defect size information. The defect data is then stacked to identify the layer of first occurrence of each defect and the number, i.e., count, of layers upon which it was redetected. A kill factor is then assigned to each of the defects according to a set of rules, each such rule specifying defect parameters that include layer of first occurrence, redetect count, defect size, and defect type. Failure probabilities, indicative of yield, are then computed for the defects according to the assigned kill factors. The failure probabilites are utilized to calculate the estimated die loss for selected wafers by layer and defect type.
A computer program for analyzing data associated with defects on a substrate, the substrate including multiple layers and multiple die, the computer program stored on a computer-readable medium, comprising:
A method for analyzing data associated with defects on a substrate, the substrate including multiple layers and multiple die, comprising the steps of:
A computer program for analyzing data associated with defects on a substrate, the substrate including multiple layers and multiple die, the computer program stored on a computer-readable medium, comprising:
Dependencies are inferred from the claim text.