International Business Machines Corporation

Brian M Trapp

Emmanuel Yashchin

Christina Landers

Asya Takken

Jeanne P Bickford

Keith Howard Tabakman

Yunsheng Song

Alan Weger

Tso-Hui Ting

Kerry A Kravec

Wing L Lai

Sebnem Jaji

Thomas P Moyer

Thomas S Barnett

Rashmi D Chatty

Mary Yvonne Lanzerotti

Gie Lee

William Y Chang

Mary Wisniewski

A system and a method are provided. The method includes assigning an entity to a ticket group associated with an ID thereof, displaying to the entity reports, which are each organized with an associated security access control, in accordance with the ticket group, determining whether the entity is authorized to access any selected one or more of the reports in accordance with a result of a comparison between an access level associated with the entity ID and the security access control associated with each of the one or more of the stored reports, and granting or denying the access in accordance with the determination.

Security control of analysis results

A system and method is disclosed for assessing a probability of failure of operation of a semiconductor wafer. The method includes inputting risk factor data into a memory and inputting a plurality of wafers into a semiconductor fabrication manufacturing process. A subset of wafers is select to obtain a sample population and at least one region of each wafer of the sample population is inspected. Circuit design data associated with each wafer of the sample population is obtained and one or more defects that present an increased risk to the operation of a particular wafer are identified. The identification is a function of the risk factor data, the inspecting step and the circuit design data. A probability of semiconductor wafer failure is calculated.

Design structure and system for identification of defects on circuits or other arrayed products

A computing system, method, and computer program product facilitates data mining of information, for example image data, relating to a surface of a manufactured product when the manufactured product is processed using a tool relative to which the manufactured product may be randomly oriented. For each manufactured object, data pertaining to the surface is converted into a weight distribution. A rotational axis along which each surface would tend to rotate under the action of gravity with the surface supported at its geometric centroid is determined. The sets of data can then be properly oriented relative to one another for data mining by aligning the rotational axis of each set of data.

Method and system of data weighted object orientation for data mining

A method of modeling yield for semiconductor products includes determining expected faults for each of a plurality of library elements by running a critical area analysis on each of the library elements, and assessing, from the critical area analysis, an expected number of faults per unit area, and comparing the same to actual observed faults on previously manufactured semiconductor products. Thereafter, the expected number of faults for each library element is updated in response to observed yield. A database is established, which includes the die size and expected faults for each of the library elements. Integrated circuit product die size is estimated, and library elements to be used to create the integrated circuit die are selected. Fault and size data for each of the selected library elements are obtained, the adjusted estimated faults for each of the library elements are summed, and estimated yield is calculated.

Equivalent gate count yield estimation for integrated circuit devices

A system and method is disclosed for assessing a probability of failure of operation of a semiconductor wafer. The method includes inputting risk factor data into a memory and inputting a plurality of wafers into a semiconductor fabrication manufacturing process. A subset of wafers is selected to obtain a sample population and at least one region of each wafer of the sample population is inspected. Circuit design data associated with each wafer of the sample population is obtained and one or more defects that present an increased risk to the operation of a particular wafer are identified. The identification is a function of the risk factor data, the inspecting step and the circuit design data. A probability of semiconductor wafer failure is calculated.

System for identification of defects on circuits or other arrayed products

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Poughkeepsie, NY, United States of America

Brian M Trapp