Method for evaluating defect region of semiconductor substrate
US-2017160335-A1 · Jun 8, 2017 · US
US12398485B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12398485-B2 |
| Application number | US-202217721949-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 15, 2022 |
| Priority date | Apr 16, 2021 |
| Publication date | Aug 26, 2025 |
| Grant date | Aug 26, 2025 |
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The invention provides a method of detecting crystallographic defects, comprising: sampling wafer of an ingot in complying with a predetermined wafer sampling frequency; identifying crystallographic defects of the wafer to show the crystallographic defects of the wafer; characterizing observation of the crystallographic defects of the wafer and extracting a value characterizing the crystallographic defects; through a result of characterizing the crystallographic defects, obtaining a radial distribution of density of the wafer and categorizing the crystallographic defects; and obtaining an isogram of the crystallographic defects of the wafer to show a crystallographic defect distribution of the whole ingot according to the value characterizing the crystallographic defects and categories of the crystallographic defects. It is no need to break the ingot to obtain the crystallographic defect distribution of the whole ingot, through which the technology for growing the ingot may be effectively adjusted to obtain the ingot with required characteristics of defect.
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What is claimed is: 1. A method of detecting crystallographic defects, comprising: sampling wafer of an ingot in complying with a predetermined wafer sampling frequency; identifying crystallographic defects of the wafer to show the crystallographic defects of the wafer; characterizing observation of the crystallographic defects of the wafer and extracting a value characterizing the crystallographic defects; through a result of characterizing the crystallographic defects, obtaining a radial distribution of density of the wafer and categorizing the crystallographic defects; and obtaining an isogram of the crystallographic defects of the wafer to show a crystallographic defect distribution of the whole ingot according to the value characterizing the crystallographic defects and categories of the crystallographic defects, wherein the step of identifying crystallographic defects of the wafer comprises vapor phase epitaxial (VPE) deposition, gas etching, copper modification and bulk micro-defect (BMD) heat treatment. 2. The method of detecting crystallographic defects according to claim 1 , wherein the categories of the crystallographic defects comprise vacancy defect and self-interstitial defect. 3. The method of detecting crystallographic defects according to claim 1 , wherein the step of characterizing observation of the crystallographic defects of the wafer comprises observing the crystallographic defects of the wafer with one of an optical microscope, light scattering tomography, laser light scattering and minority carrier lifetime. 4. The method of detecting crystallographic defects according to claim 1 , wherein the step of sampling wafer of the ingot is performed along with a longitudinal direction of the ingot. 5. The method of detecting crystallographic defects according to claim 4 , wherein the predetermined wafer sampling frequency is 1/10 millimeter −1 (mm −1 )˜ 1/200 mm −1 . 6. The method of detecting crystallographic defects according to claim 1 , wherein the step of obtaining the isogram of the crystallographic defects of the wafer comprises inputting the value characterizing the crystallographic defects and categories of the crystallographic defects into an analog editor to draw the isogram of the crystallographic defects of the wafer, and the analog editor is one of MATLAB analog editor or Python analog editor. 7. A method of growing an ingot, comprising: sampling wafer of an ingot in complying with a predetermined wafer sampling frequency; identifying crystallographic defects of the wafer to show the crystallographic defects of the wafer; characterizing observation of the crystallographic defects of the wafer and extracting a value characterizing the crystallographic defects; through a result of characterizing the crystallographic defects, obtaining a radial distribution of density of the wafer and categorizing the crystallographic defects; obtaining an isogram of the crystallographic defects of the wafer to show a crystallographic defect distribution of the whole ingot according to the value characterizing the crystallographic defects and categories of the crystallographic defects; and adjusting a technology for growing the ingot according to the crystallographic defect distribution of the whole ingot to obtain the ingot with required characteristics of defect, wherein the step of identifying crystallographic defects of the wafer comprises vapor phase epitaxial (VPE) deposition, gas etching, copper modification and bulk micro-defect (BMD) heat treatment. 8. The method of growing an ingot according to claim 7 , wherein the step of adjusting the technology for growing the ingot comprises lowering a pulling rate of the ingot or raising a temperature gradient when the crystallographic defects are vacancy defects. 9. The method of growing an ingot according to claim 7 , wherein the step of adjusting the technology for growing the ingot comprises raising a pulling rate of the ingot or lowering a temperature gradient when the crystallographic defects are self-interstitial defects.
Semiconductive materials · CPC title
Wafer internal defects, e.g. microcracks · CPC title
Silicon · CPC title
Controlling or regulating · CPC title
Taking dimensions of defect into account · CPC title
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