METHOD AND MACHINE FOR EXAMINING WAFERS
20210193537 · 2021-06-24
Inventors
Cpc classification
Y02P90/02
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
Y02P90/80
GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
H01L22/20
ELECTRICITY
G01N2021/8867
PHYSICS
International classification
G01N21/95
PHYSICS
Abstract
Method and machine utilizes the real-time recipe to perform weak point inspection on a series of wafers during the fabrication of integrated circuits. Each real-time recipe essentially corresponds to a practical fabrication history of a wafer to be examined and/or the examination results of at least one examined wafer of same “lot”. Therefore, different wafers can be examined by using different recipes where each recipe corresponds to a specific condition of a wafer to be examined, even these wafers are received by a machine for examining at the same time.
Claims
1-10. (canceled)
11. An apparatus for inspecting a sample, the apparatus comprising: a memory storing a set of instructions; and a processor configured to execute the set of instructions to cause the apparatus to: determine a similarity between a map representing the sample and a reference; determine a first inspecting plan for inspecting the sample according to a critical area to define an inspection area on the sample when a first condition is satisfied that is based on the similarity, wherein the first inspecting plan covers only a defect inspection area indicated by the map; acquire at least one image of the sample with a high resolution imaging tool using the first inspecting plan; and identify defects in the inspection area according to the at least one image.
12. The apparatus of claim 11, wherein the processor is configured to execute the set of instructions to cause the apparatus to: construct an inspection plan based on the similarity, wherein the inspection plan includes: the first inspecting plan when the similarity exceeds a threshold; and a second inspecting plan when the similarity does not exceed the threshold, the second inspecting plan covering a larger area than the first inspecting plan.
13. The apparatus of claim 11, wherein the reference includes a sample map stored in the memory.
14. The apparatus of claim 11, wherein the reference includes a graphic database system (GDS) file.
15. The apparatus of claim 11, wherein the first inspecting plan is determined based on at least one of the following: product information identifying a feature based on a semiconductor fabrication process; and detecting parameters that instruct the high resolution imaging tool what to do in the inspection area.
16. The apparatus of claim 11, wherein the first inspecting plan comprises instructions configured to cause the high resolution imaging tool to examine the sample only in the critical area instead of the whole sample.
17. The apparatus of claim 11, wherein the processor is configured to execute the set of instructions to cause the apparatus to: in response to the similarity exceeding a threshold, set a sample map flag value to a first value, or in response to the first similarity not exceeding the threshold, set the sample map flag value to a second value; and construct the first inspecting plan when the sample map flag is the first value, or construct a second inspecting plan when the sample map flag is the second value.
18. A method of inspecting a sample, comprising: determining a similarity between a map representing the sample and a reference; determining a first inspecting plan according to a critical area to define an inspection area on the sample when a first condition is satisfied that is based on the similarity, wherein the first inspecting plan covers only a defect inspection area indicated by the map; examining the sample with a high resolution imaging tool using the first inspecting plan; and identifying defects in the inspection area according to at least one image taken by the high resolution imaging tool.
19. The method of claim 18, wherein the map representing the sample includes process information.
20. The method of claim 18, wherein the map representing the sample includes coordinates of defects.
21. The method of claim 18, further comprising: constructing an inspection plan based on the determination of the similarity, wherein the inspection plan includes: the first inspecting plan when the similarity exceeds a threshold; and a second inspecting plan when the similarity exceeds the threshold, the second inspecting plan covering a larger area than the first inspecting plan.
22. The method of claim 18, wherein the map comprises at least one of the following: a possible defect location within a die or a device provided by a prediction of a numerical simulation; a verified result of a previous inspection output of other defect scanning tool; and a historical sample map result collected from a previous sample that experienced all fabrication processes.
23. The method of claim 22, wherein the possible defect location comprises a forerunner to defects.
24. The method of claim 18, further comprising determining a second inspecting plan according to full sample inspection when the first condition is not satisfied.
25. The method of claim 18, wherein the reference includes a sample map stored in a database.
26. The method of claim 18, further comprising: in response to the similarity exceeding a threshold, setting a sample map flag value to a first value; and constructing the first inspecting plan when the sample map flag is the first value.
27. The method of claim 26, further comprising: in response to the similarity not exceeding the threshold, setting the sample map flag value to a second value; and constructing a second inspecting plan when the sample map flag is the second value.
28. A non-transitory computer readable medium that stores a set of instructions that is executable by at least one processor of an apparatus to cause the apparatus to perform a method for inspecting a sample, the method comprising: determining a similarity between a map representing the sample and a reference; determining a first inspecting plan according to a critical area to define an inspection area on the sample when a first condition is satisfied that is based on the similarity, wherein the first inspecting plan covers only a defect inspection area indicated by the map; examining the sample with a high resolution imaging tool using the first inspecting plan; and identifying defects in the inspection area according to at least one image taken by the high resolution imaging tool.
29. The medium of claim 28, wherein the instructions are executable by the at least one processor of the apparatus to cause the apparatus to further perform: determining a second inspecting plan according to full sample inspection when the first condition is not satisfied.
30. The medium of claim 28, wherein the instructions are executable by the at least one processor of the apparatus to cause the apparatus to further perform: in response to the similarity exceeding a threshold, setting a sample map flag value to a first value, or in response to the first similarity not exceeding the threshold, setting the sample map flag value to a second value; and constructing the first inspecting plan when the sample map flag is the first value, or constructing a second inspecting plan when the sample map flag is the second value, the second inspecting plan covering a larger area than the first inspecting plan.
31. The apparatus of claim 11, wherein the sample is a wafer, and the high resolution imaging tool is a scanning electron microscope or an optical inspection system.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0027]
[0028]
[0029]
[0030]
DETAILED DESCRIPTION OF THE INVENTION
[0031] Reference will now be made in detail to specific embodiments of the invention. Examples of these embodiments are illustrated in accompanying drawings. While the invention will be described in conjunction with these specific embodiments, it will be understood that it is not intended to limit the invention to these embodiments. On the contrary, it is intended to cover alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims. In the following description, numerous specific details are set forth in order to provide a through understanding of the present invention. The present invention may be practiced without some or all of these specific details. In other instances, well known process operations are not described in detail in order not to unnecessarily obscure the present invention.
Terminology Definition
[0032] In the present invention “examine a wafer” implies the wafer is inspected by a charged particle beam system after the wafer experienced a semiconductor fabrication process in a process tool. [0033] In the present invention “a “lot” of wafer” implies a group of semiconductor wafers that will experience a semiconductor fabrication process with a same process tool as a batch or one wafer at a time. The number of wafers within “a lot” maybe one or several wafers in a wafer cassette, or more than one cassette. Typically, one cassette may contain at most 25 200-mm wafers or 13 300-mm wafers. [0034] In the present invention “hot spot” of a wafer of a semiconductor process implies a possible defect location within a die or a device provided by a prediction of a numerical simulation, a verified result of a previous inspection output of other defect scanning tool (e.g., a klarf file), and a historical wafer map result collected from previous wafers which experienced all fabrication processes. [0035] In the present invention “weak point” of a wafer implies a defect clustering area which is illustrated through wafer map analysis. [0036] In the present invention a scanning electron microscope (SEM) will be use as an example to express a charged particle beam system.
[0037] Wafer inspection tools help semiconductor manufacturer increase and maintain ICs yield. The IC industry employs inspection tools to detect defects that occur during the fabrication process. The important characteristics of an inspection tool are defect detection sensitivity and wafer throughput. Sensitivity to detect a defect and wafer throughput are coupled such that greater sensitivity usually means lower throughput.
[0038] An scanning electron microscope (SEM) based inspection tool, for example, has an inspection probe spot diameter of 100 nm and a pixel rate of 12.5 million pixels per see (Mpps), has a throughput of 0.05 300-mm wafers per hour (wph). A throughput at this level can not bear to do a full wafer inspection after a fabrication process. In order to perform valuable tool time to inspect critical position, a “hot spot” inspection and or a “weak point” inspection with a high resolution charged particle beam inspection tool is developed.
[0039] U.S. patent application Ser. No. 13/303,953 in titled of “Smart Defect Review for Semiconductor Integrated Circuit” by Wang et al., filed in Nov. 23, 2011, all of which is incorporated herein by reference. As shown in
[0040] Hot spot information of a specific semiconductor fabrication process with a specific processing tool maybe come from numerical simulation, wafer map analysis, and output file from other defect scanning tool. A “recipe” is constructed for a SEM-base defect inspection/review tool to instruct the tool perform defect inspection/review on those “hot spot” positions, to examine the possible defect positions with high resolution, to classify the real defect according to the defect shape, size, physical characteristics, and fabrication process. A wafer “weak point” map illustrates real defect distribution can be constructed after perform wafer map analysis according to the output of SEM-based defect review. Base on the result of the defect inspection/review tool, a fab manager can recommend corrective actions to the corresponding process or processing tool thereafter improve the yield of the fabrication process.
[0041] For a semiconductor fabrication process or processing tool that without previous experience to determine wafer “hot spot”, one embodiment of the present invention to set up the inspection/review tool's own “weak point” map according to the inspection/review result of previous wafers.
[0042]
[0043] The tool 100 will identify defects in step 440 using algorithm of the universal defect locating unit 250. There are several methods can be chosen for defect identification. Three points comparison method, the method identify defects by comparing images acquired from three different positions and mark error (defect) on the one deviate from the other two images. Die to golden die, the method identify defects by comparing images acquired from one die of the loaded wafer and a golden die to distinguish if a defect exists, where the golden die is refer to a perfect die without any defects. Die to design database or die to database, the method identify defects by comparing images acquired from a layout for a die or device of the loaded wafer and the original layout for a die or device on the design database.
[0044] The following step 430 is wafer mapping, this step records defects and its die/wafer location to database. The defect classification information such as defect type, size of the defect, composition of the defect if applied, process history of the wafer, coordinates on the wafer, location of the die (local coordinates), and etc., are recorded. After wafer mapping, the tool 100 compares found defects' position on the current wafer map and the previous wafer map. If the defects' position consistency is over 90% then set flag=1. Flag=1 indicates that the wafer map can pretty much represent the defect clustering area of a wafer in this “lot” and a weak point inspection plan setup according to this wafer map may cover most of the defect clustering area. If the defects' position consistency is less than 90% then set flag=0. Flag=0 indicates next wafer will perform full wafer inspection again to accumulate defect distribution information. The tool 100 utilizes the smart review sampling algorithm 240 to construct the weak point inspection plan to save inspection time when Flag is set to 1.
[0045] Step 460 releases the wafer after inspection and in step 470 the recipe will request next wafer within the “lot” if there is any, the recipe will end the batch job in step 480 if no more wafer need to be inspected within the “lot”.
[0046] It is because the information of the new discovered defect within the specified area will be updated to the wafer map database, therefore the weak point algorism of the present invention has self-learning ability. Since the inspecting area of the next wafer loaded is varied according to the previous inspection results, in another words, the recipe of the inspection is varied in each inspection process.
[0047] The first advantage of the present invention is increasing throughput by focusing inspection area on critical or weak point area on the wafer. The second advantage of the present invention is that knowledge learned will accumulate automatically onto the database.
[0048] Although the present invention has been explained in relation to its preferred embodiment, it is to be understood that other modifications and variation can be made without departing the spirit and scope of the invention as hereafter claimed.