This application claims the benefit of priority to Japanese Patent Application No. 2021-079616 filed on May 10, 2021, which is expressly incorporated herein by reference in its entirety.
The present invention relates to a method of creating a correlation relational formula for determining a polishing condition, a method of determining a polishing condition, and a semiconductor wafer manufacturing method.
A semiconductor wafer manufacturing process usually includes a polishing step (see, for example, Japanese Patent Application Publication No. 2018-186118, which is expressly incorporated herein by reference in its entirety).
In a semiconductor wafer polishing step, a semiconductor wafer is polished under a predetermined polishing condition. However, the polishing condition to be determined usually includes a plurality of items. Conventionally, numerous trials and errors have to be repeated to determine these items.
With the foregoing in view, an object of one aspect of the present invention is to provide novel means that makes it possible to determine a polishing condition for a semiconductor wafer without numerous trials and errors.
One aspect of the present invention relates to a method of creating a correlation relational formula for determining a polishing condition (hereinafter, also referred to as “relational formula creation method”), the method including:
According to the above relational formula creation method, the correlation relational formula (correlation relational formula 3) used for determining the polishing conditions in actual polishing of the semiconductor wafer can be created by performing the various steps described above. That is, the correlation relational formula 3 can be determined without numerous trials and errors. Furthermore, the present inventor speculates, without placing limitation on the present invention, that the correlation relational formula 3 determined in such a way has been determined by taking into consideration the degree of influence of various polishing parameters on the basis of information acquired by actual measurement and/or information created by heat transfer analysis as described above, and therefore can be expected to contribute to the determination of the polishing condition under which semiconductor wafers can be polished with high accuracy.
In one embodiment, the above temperature distribution parameter may be a difference (Tmax−Tmin) between the in-plane maximum temperature Tmax and the in-plane minimum temperature Tmin.
In one embodiment, the above in-plane polishing amount distribution parameter may be a difference (Qmax−Qmin) between the in-plane maximum polishing amount Qmax and the in-plane minimum polishing amount Qmin.
In one embodiment, the above polishing parameters may be selected from the group consisting of polishing time τ, polishing slurry flow rate f, polishing pressure P, and surface plate/polishing head rotation speed ω.
In one embodiment, the above correlation relational formula 1 may be
ΔT is a difference between the in-plane maximum temperature Tmax and the in-plane minimum temperature Tmin, τ is a polishing time, f is a polishing slurry flow rate, P is a polishing pressure, and ω is a surface plate/polishing head rotation speed. X1, X2, X3, X4 and X5 are constants determined by correlation analysis.
In one embodiment, the correlation relational formula 2 may be
ΔQ is a difference between the in-plane maximum polishing amount Qmax and the in-plane minimum polishing amount Qmin, τ is a polishing time, f is a polishing slurry flow rate, P is a polishing pressure, ω is a surface plate/polishing head rotation speed. Y1, Y2, Y3, Y4 and Y5 are constants determined by correlation analysis.
In one embodiment, the correlation relational formula 3 may be
Another aspect of the present invention relates to a method of determining a polishing condition, the method including:
Yet another aspect of the present invention relates to a semiconductor wafer manufacturing method including:
In one embodiment, the above semiconductor wafer may be a silicon wafer.
According to one aspect of the present invention, it is possible to determine the polishing condition for semiconductor wafers without numerous trials and errors.
The above relational formula creation method will be described hereinbelow in more detail.
The correlation relational formula 3 finally created by the above relational formula creation method is used to determine the polishing condition in semiconductor wafer actual polishing. In the present invention and this description, “actual polishing” means polishing performed in the process of manufacturing semiconductor wafers to be shipped as products. However, semiconductor wafers manufactured through such actual polishing are not limited to semiconductor wafers that are actually shipped as products and distributed in the market, and may also be semiconductor wafers that are determined to be defective for some reason and are excluded from the wafer group that is shipped as products. Polishing methods for polishing the surface of a semiconductor wafer include single-sided polishing for polishing one side of the wafer and double-sided polishing for polishing both sides of the wafer. Usually, in a single-sided polishing apparatus, a polishing head and a surface plate are rotated and the surface to be polished of the wafer and the polishing pad are brought into sliding contact with each other while pressing the surface to be polished of the wafer that is held by the polishing head against the polishing pad attached to the surface plate. By supplying an abrasive between the surface to be polished and the polishing pad, which are in sliding contact with each other, one surface of the wafer (the surface to be polished) can be polished. The correlation relational formula created by the above relational formula creation method can be used to determine the polishing conditions for performing single-sided polishing as the semiconductor wafer actual polishing.
In the polishing head 10 shown in
The object to be polished under the polishing condition determined using the correlation relational formula determined by the above relational formula determination method is a semiconductor wafer, for example, can be a silicon wafer (preferably a single crystal silicon wafer). For example, a silicon wafer can be produced by the following method. A silicon single crystal ingot is pulled up by the Czochralski method, and the produced ingot is cut to obtain a block. The resulting block is sliced into wafers. Silicon wafers can be produced by subjecting these wafers to various types of processing. Examples of the processing include chamfering, flattening (lapping, grinding, polishing), and the like. Polishing under the polishing condition determined using the correlation relational formula determined by the above relational formula determination method includes, for example, finish polishing, which is the final step of wafer processing described above.
Next, various steps performed in the above relational formula creation method will be described.
In the above relational formula creation method, semiconductor wafers are polished under a plurality of polishing conditions including a plurality of polishing parameters, and in-plane polishing amount distribution information of the semiconductor wafers in the polishing under these plurality of polishing conditions is acquired by actual measurement. That is, the wafers are actually polished, and the polishing amount at each in-plane portion of the polished wafer surface is actually measured. Wafers to be polished under various polishing conditions can be, for example, wafers cut from the same ingot and processed to have the same wafer diameter and the same thickness. However, this example is not limiting. The polishing parameters can be various numerical values that make up the polishing conditions. Examples of the plurality of polishing parameters described above include polishing time τ, polishing slurry flow rate f, polishing pressure P, and surface plate/polishing head rotation speed ω. Units for various polishing parameters are not particularly limited and may be units that are commonly used for these parameters. Assuming that the rotation speed of the surface plate is ω1 and the rotation speed of the polishing head is ω2, in a usual semiconductor wafer polishing apparatus, ω1 and ω2 can be set independently, and can be set to the same value or different values. In the present invention and in this description, the “surface plate/polishing head rotation speed ω” means the rotation speed of the surface plate and the rotation speed of the polishing head when ω1=ω2.
As an example, silicon wafers were polished under various polishing conditions shown in Table 1 by using the semiconductor wafer polishing apparatus shown in
In the above relational formula creation method, semiconductor wafers are polished under polishing conditions including a plurality of polishing parameters, and in-plane temperature distribution information during polishing of the semiconductor wafers in polishing under these plurality of polishing conditions is acquired by actual measurement, or in-plane temperature distribution information during polishing of the semiconductor wafers in polishing under polishing conditions including a plurality of polishing parameters is created by heat transfer analysis.
In one embodiment, semiconductor wafers are polished under polishing conditions including a plurality of polishing parameters, and in-plane temperature distribution information during polishing of the semiconductor wafers in polishing under these plurality of polishing conditions is acquired by actual measurement. That is, the wafers are actually polished, and information about the temperature of each in-plane portion of the wafer surface during polishing is acquired by actual measurement. The temperature actually measured here can be the temperature at a position near the surface to be polished of the wafer being polished or the temperature itself of the surface to be polished of the wafer being polished. Normally, it is not easy to measure the surface temperature itself of the wafer surface being polished in sliding contact with a polishing pad. Therefore, the temperature actually measured here is preferably the temperature at a position near the surface to be polished of the wafer being polished. For example, in the semiconductor wafer polishing apparatus shown in
For example, when silicon wafers are polished under various polishing conditions shown in Table 1 by the semiconductor wafer polishing apparatus shown in
Further, in one embodiment, heat transfer analysis can be used to create in-plane temperature distribution information during polishing of semiconductor wafers in polishing under polishing conditions including a plurality of polishing parameters.
For example, as a heat transfer analysis model, a model in which the heat conduction equation is solved using general-purpose finite element method (FEM) analysis software Abaqus can be employed. By using such a heat transfer analysis model, it is possible to predict the temperature of the wafer surface during polishing, which is usually not easy to measure.
In the above model, a dynamic friction coefficient μ used for frictional heat generation (heat flux boundary condition that expresses frictional heat flux) and a heat transfer coefficient h using slurry heat removal (heat flux boundary condition that expresses heat flux for slurry cooling and uses Newton's cooling law) are taken as experimental parameters. These are functions of the distance r from the wafer center and the polishing parameters (polishing time τ, polishing pressure P, surface plate/polishing head rotation speed ω, slurry flow rate f). Here, the units of values of the polishing parameters are arbitrary units. The functions thus determined by the above model are shown below.
From the results shown in Table 1, it can be said that there is a high correlation between ΔT and polishing conditions as well as between ΔQ and polishing conditions.
The correlation relational formula 1 is a correlation relational formula between the in-plane temperature distribution parameters and a plurality of polishing parameters of a semiconductor wafer and can be created based on the in-plane temperature distribution information during polishing acquired or created hereinabove. For example, the correlation relational formula 1 can be “Formula 1: ΔT=X1+X2τ+X3P+X4ω+X5f”. Here, ΔT is the difference between the in-plane maximum temperature Tmax and the in-plane minimum temperature Tmin and can be obtained as described above. τ is the polishing time, f is the polishing slurry flow rate, P is the polishing pressure, ω is the surface plate/polishing head rotation speed, and X1, X2, X3, X4 and X5 are constants determined by correlation analysis, these constants having positive or negative values. Methods for correlation analysis are well known.
As an example, in the embodiment shown in Table 1, Formula 1 is obtained as Formula (1) below (R2=0.89).
The correlation relational formula 2 is a correlation relational formula between the in-plane polishing amount distribution parameters and a plurality of polishing parameters of a semiconductor wafer and can be created based on the in-plane polishing amount distribution information acquired above. For example, the correlation relational formula 2 can be “Formula 2: ΔQ/ΔT=Y1+Y2τ+Y3P+Y4ω+Y5f”. Here, ΔQ is the difference between the in-plane maximum polishing amount Qmax and the in-plane minimum polishing amount Qmin and can be obtained as described above. τ is the polishing time, f is the polishing slurry flow rate, P is the polishing pressure, ω is the surface plate/polishing head rotation speed, and Y1, Y2, Y3, Y4 and Y5 are constants determined by correlation analysis, these constants having positive or negative values. As an example, in the embodiment shown in Table 1, Formula 2 is obtained as Formula (2) below (R2=0.91).
The correlation relational formula 3 is a correlation relational formula used for determining the polishing condition in semiconductor wafer actual polishing and can be created based on the correlation relational formula 1 and the correlation relational formula 2. For example, when the correlation relational formula 1 is the above Formula 1 and the correlation relational formula 2 is the above Formula 2, “Formula 3: ΔQ=(X1+X2τ+X3P+X4ω+X5f)×(Y1+Y2τ+Y3P+Y4ω+Y5f)” can be derived from Formula 1 and Formula 2. In Formula 3, X1 to X5, Y1 to Y5, τ, f, P, and ω have the same meanings as above. For example, the correlation relational formula 3 can be Formula 3 above. As an example, in the embodiment shown in Table 1, Formula 3 can be derived from Formula (1) and Formula (2) above as Formula (3) below.
A method of determining the polishing condition based on the correlation relational formula 3 will be explained below.
One aspect of the present invention relates to a method of determining a polishing condition, the method comprising:
The creation of the correlation relational formula for determining the polishing condition in the method of determining the polishing condition is as described above. Specifically, the above-described correlation relational formula 3 is the correlation relational formula for determining the polishing condition.
The correlation relational formula 3 can include ΔQ, and a specific example thereof is Formula 3 described above. For example, the target value or target range of ΔQ can be set as the target value or target range of the in-plane polishing amount distribution of the semiconductor wafer to be polished. Such a target value or target range can be arbitrarily set in consideration of the flatness and the like desired for the product wafer.
After the target value or target range is set, the polishing condition (specifically, specific values of various polishing parameters) under which the correlation relational formula 3 holds between the target value, a value within the target range, or a value slightly different from the above values can be determined as the polishing condition under which set target value or target range can be expected to be achieved. A value that is slightly different from the above values can be, for example, a value of “A×0.90 to 1.10” or a value of “A×0.95 to 1.05”, where A is the target value or a value within the target range.
In addition, one or more of the following items can be considered as limiting conditions when determining the polishing condition.
Limiting condition A: In order to prevent an increase in slurry cost, the slurry flow rate f is set to a predetermined value or less. For example, in the embodiment shown in Table 1, the slurry flow rate is 1.00 or less. Also, in order to supply abrasive grains sufficient for polishing, the slurry flow rate f is set to a predetermined value or more. For example, in the embodiment shown in Table 1, the slurry flow rate is 0.50 or more.
Limiting condition B: The polishing time T is set to a predetermined value or less in order to prevent an increase in throughput. For example, in the embodiment shown in Table 1, the polishing time is 1.00 or less.
Limiting condition C: In order to prevent damage to the members of the polishing head, the polishing pressure P is set to a predetermined value or less. For example, in the embodiment shown in Table 1, the polishing pressure is 2.00 or less.
Limiting condition D: In order to prevent condensation of slurry components, deterioration of the polishing pad, and thermal cracking of the surface plate, the maximum value of the temperature of the surface to be polished of the wafer being polished or in the vicinity thereof (hereinafter simply referred to as the “maximum value of temperature”) is set to a predetermined value T or less. The details of the temperature of the surface to be polished of the wafer being polished or in the vicinity thereof are as described above. The predetermined value T can be obtained from “Formula 4: T=Z1+Z2τ+Z3P+Z4ω+Z5f” by correlation analysis. τ is the polishing time, f is the polishing slurry flow rate, P is the polishing pressure, ω is the surface plate/polishing head rotation speed, and Z1, Z2, Z3, Z4 and Z5 are constants determined by correlation analysis, these constants having positive or negative values. As an example, in the embodiment shown in Table 1, Formula 4 is obtained as Formula (4) below by correlation analysis (R2=0.92), and the predetermined value T can be calculated as, for example, 50° C.
Limiting condition E: In order to prevent the wafer from falling off during polishing, the surface plate/polishing head rotation speed w is set to a predetermined value or less. For example, in the embodiment shown in Table 1, the rotation speed is 1.50 or less.
For example, in the embodiment shown in Table 1, under limiting conditions A to E, when the target value of ΔQ is set to 50 mm, 100 mm, 150 mm or 200 nm, and the slurry flow rate f of limiting condition A is fixed at 1.00, various polishing conditions shown in Table 2 (Tables 2-1 to 2-4) can be determined from Formula (3) as polishing conditions that satisfy Formula (3).
The polishing conditions can be determined, for example, as follows.
In Table 2, if “OK” is entered in the limiting condition determination column, it indicates that the value on the left side in the table satisfies the limiting condition described for the embodiment shown in Table 1. The polishing conditions shown in Table 2 are examples, and there are various other polishing conditions that satisfy Formula (3).
According to the above method of determining a polishing condition, for example, the polishing condition for the semiconductor wafer can be determined according to the correlation relational formula 3 without numerous trials and errors, as described above.
One aspect of the present invention relates to a semiconductor wafer manufacturing method including:
The details of determining the polishing condition in the method of manufacturing a semiconductor wafer are as described above. Polishing under the determined polishing condition can be performed, for example, in a single-sided polishing apparatus. The above-described semiconductor wafer polishing apparatus shown in
One aspect of the present invention is useful in the technical field of semiconductor wafers such as silicon wafers.
Number | Date | Country | Kind |
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2021-079616 | May 2021 | JP | national |
Filing Document | Filing Date | Country | Kind |
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PCT/JP2022/008115 | 2/28/2022 | WO |