US2013103336A1PendingUtilityA1
Multi-modal data analysis for defect identification
Est. expiryJan 22, 2028(~1.5 yrs left)· nominal 20-yr term from priority
Inventors:Lisa AminiBrian C. BarkerPerry G. HartswickDeepak S. TuragaOlivier VerscheureJustin W. Wong
G01N 33/00G06T 7/001G06F 18/256G06T 2207/30148G06F 15/00
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Claims
Abstract
A technique for identifying a defect in an object produced by a controllable process is disclosed. A first type of data generated as a result of production of the object by the controllable process is obtained. A second type of data generated as a result of production of the object by the controllable process is obtained. The first type of data and the second type of data are jointly analyzed. A defect is identified in the object based on the joint analysis of the first type of data and the second type of data.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for identifying a defect in an object produced by a controllable process, the method comprising the steps of:
obtaining a first type of data generated as a result of production of the object by the controllable process; obtaining a second type of data generated as a result of production of the object by the controllable process; jointly analyzing the first type of data and the second type of data; and identifying a defect in the object based on the joint analysis of the first type of data and the second type of data.
2 . The method of claim 1 , wherein the controllable process is adjustable based on the joint analysis of the first type of data and the second type of data.
3 . The method of claim 1 , wherein the joint analysis step further comprises combining results of a first type of analysis of the first type of data and results of a second type of analysis of the second type of data.
4 . The method of claim 1 , wherein the joint analysis step further comprises using results of a first type of analysis of the first type of data to affect a second type of analysis of the second type of data.
5 . The method of claim 1 , wherein the controllable process comprises a semiconductor manufacturing process.
6 . The method of claim 5 , wherein the semiconductor manufacturing process comprises a silicon wafer manufacturing process and the object produced by the semiconductor manufacturing process comprises a processed wafer.
7 . The method of claim 6 , wherein the first type of data comprises tool trace data and the second type of data comprises wafer image data.
8 . The method of claim 7 , wherein the tool trace data is generated by a photolithographic tool.
9 . An article of manufacture for identifying a defect in an object produced by a controllable process, the article comprising a computer readable storage medium including one or more programs which when executed by a computer perform the steps of claim 1 .
10 . Apparatus for identifying a defect in an object produced by a controllable process, the apparatus comprising:
a memory; and a processor coupled to the memory and operative to: (i) obtain a first type of data generated as a result of production of the object by the controllable process; (ii) obtain a second type of data generated as a result of production of the object by the controllable process; (iii) jointly analyze the first type of data and the second type of data; and (iv) identify a defect in the object based on the joint analysis of the first type of data and the second type of data.
11 . The apparatus of claim 10 , wherein the controllable process is adjustable based on the joint analysis of the first type of data and the second type of data.
12 . The apparatus of claim 10 , wherein the joint analysis operation further comprises combining results of a first type of analysis of the first type of data and results of a second type of analysis of the second type of data.
13 . The apparatus of claim 10 , wherein the joint analysis operation further comprises using results of a first type of analysis of the first type of data to affect a second type of analysis of the second type of data.
14 . The apparatus of claim 10 , wherein the controllable process comprises a semiconductor manufacturing process.
15 . The apparatus of claim 14 , wherein the semiconductor manufacturing process comprises a silicon wafer manufacturing process and the object produced by the semiconductor manufacturing process comprises a processed wafer.
16 . The apparatus of claim 15 , wherein the first type of data comprises tool trace data and the second type of data comprises wafer image data.
17 . The apparatus of claim 16 , wherein the tool trace data is generated by a photolithographic tool.
18 . A system for controlling a controllable process that produces an object, the system comprising:
one or more analyzers coupled to the controllable process and configured to: (i) obtain a first type of data generated as a result of production of the object by the controllable process; (ii) obtain a second type of data generated as a result of production of the object by the controllable process; (iii) jointly analyze the first type of data and the second type of data; and (iv) identify a defect in the object based on the joint analysis of the first type of data and the second type of data; wherein the controllable process is adjustable based on the joint analysis of the first type of data and the second type of data; wherein the joint analysis is performed by a processor.
19 . The system of claim 18 , wherein the joint analysis further comprises combining results of a first type of analysis of the first type of data and results of a second type of analysis of the second type of data.
20 . The system of claim 18 , wherein the joint analysis further comprises using results of a first type of analysis of the first type of data to affect a second type of analysis of the second type of data.Cited by (0)
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