IP Library › Granted Patent US 12,287,584
Granted Patent B2
US 12,287,584 · App. 18/232,570 · Granted Apr 29, 2025

Methods and apparatus for obtaining diagnostic information relating to an industrial process

Inventors: Alexander Ypma (Veldhoven, NL); Jasper Menger (Eindhoven, NL); David Deckers (Turnhout, BE); David Han (Tilburg, NL); Adrianus Cornelis Matheus Koopman (Hilversum, NL); Irina Lyulina (Son, NL); Scott Anderson Middlebrooks (Veldhoven, NL); Richard Johannes Franciscus Van Haren (Waalre, NL); Jochem Sebastiaan Wildenberg (Aarle-Rixtel, NL)
Assignee: ASML NETHERLANDS B.V.
G03F7/706837G03F7/70525G03F7/70616G03F9/7092G06F16/26
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Quick Facts
Patent No.
US 12,287,584
App. No.
18/232,570
Granted
Apr 29, 2025
Kind
B2
Abstract

In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.

Claims (28)

1. A non-transitory computer program product comprising machine readable instructions stored therein, the instructions, when executed by a computer system, configured to cause the computer system to at least:

obtain measurement data comprising measurement values corresponding to different modes of measurement of a sensor system configured to sample on one or more marks on a physical product unit that has been subjected to a semiconductor manufacturing process;

identify one or more components indicative of deformation of the one or more marks based on a result of a multivariate analysis applied to the measurement data or to previous measurement data; and

use the measurement data and the identified one or more components to determine a preferred mode of measurement for the sensor system based on a reduced impact of the deformation of the one or more marks on the accuracy of a measurement value obtained by the sensor system.

2. The computer program product of claim 1 , wherein the measurement values are associated with an overlay parameter and the one or more marks are overlay marks.

3. The computer program product of claim 2 , wherein the mode of measurement of the sensor system is a wavelength of radiation used by the sensor system to sample the one or more marks.

4. The computer program product of claim 3 , wherein the instructions are further configured to cause the computer system to select one or more further marks based on a further reduction of the impact of the mark deformation on the accuracy.

5. The computer program product of claim 1 , wherein the identified one or more components are further based on performance data comprising measurement values corresponding to measurements by a different sensor.

6. The computer program product of claim 1 , wherein the multivariate analysis is a Principal Component Analysis (PCA) and the components are principal components.

7. The computer program product of claim 6 , wherein the components are based on a result of a PCA analysis applied to previous measurement data and the components are stored in a library.

8. The computer program product of claim 1 , wherein the components are expressed as vectors in a multidimensional space.

9. The computer program product of claim 8 , wherein the multidimensional space is a space of reduced dimensions.

10. The computer program product of claim 1 , wherein the multivariate analysis is an Independent Component Analysis (ICA).

11. The computer program product of claim 1 , wherein the instructions are further configured to cause the computer system to generate a recipe for the sensor system based on the preferred mode of measurement.

12. The computer program product of claim 1 , wherein the sensor system is a metrology tool.

13. A metrology tool comprising the computer program product according to claim 1 , wherein the sensor system is the metrology tool.

14. The computer program product of claim 1 , wherein the sensor system is an alignment sensor of a lithographic apparatus and the one or more marks are alignment marks.

15. The computer program product of claim 14 , wherein the mode of measurement of the alignment sensor is a wavelength of radiation used by the alignment sensor to sample the alignment marks.

16. The computer program product of claim 15 , wherein the instructions are further configured to cause the computer system to select one or more further alignment marks based on a further reduction of the impact of deformation of the alignment marks on the accuracy.

17. A lithographic apparatus comprising:

an alignment sensor; and

the computer program product of claim 1 , wherein the sensor system is the alignment sensor and the one or more marks are alignment marks.

18. A method comprising:

obtaining measurement data comprising measurement values corresponding to different modes of measurement of a sensor system configured to sample on one or more marks on a physical product unit that has been subjected to a semiconductor manufacturing process;

identifying, by a hardware computer system, one or more components indicative of deformation of the one or more marks based on a result of a multivariate analysis applied to the measurement data or previous measurement data; and

using the measurement data and the identified one or more components to determine a preferred mode of measurement for the sensor system based on a reduced impact of the deformation of the one or more marks on the accuracy of a measurement value obtained by the sensor system.

19. The method of claim 18 , wherein the measurement values are associated with an overlay parameter and the one or more marks are overlay marks.

20. The method of claim 19 , wherein the mode of measurement of the sensor system is a wavelength of radiation used by the sensor system to sample the one or more marks.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 11, 2023
From: YPMA, ALEXANDER; DECKERS, DAVID FRANS SIMON; HAN, DAVID; LYULINA, IRINA ANATOLIEVNA; KOOPMAN, ADRIANUS CORNELIS MATHEUS; MIDDLEBROOKS, SCOTT ANDERSON; VAN HAREN, RICHARD JOHANNES FRANCISCUS; MENGER, JASPER; WILDENBERG, JOCHEM SEBASTIAAN
To: ASML NETHERLANDS B.V.
Reel/Frame 064560/0695 →
Continuity (7)
Continuation 17836099 · Jun 9, 2022
Continuation 16864456 · May 1, 2020
Continuation 16351873 · Mar 13, 2019
Continuation 15915674 · Mar 8, 2018
Continuation 15025856
Provisional Application 61885977 · Oct 2, 2013
Related Publication 20240019788A1 · Jan 18, 2024
References Cited (105)
US 1798964A · Wintermute et al. · 1931 [cited by applicant]
US 6184935B1 · Iaquinto et al. · 2001 [cited by applicant]
US 6456899B1 · Gleason et al. · 2002 [cited by applicant]
US 6603804B1 · Khoini-Poorfard et al. · 2003 [cited by applicant]
US 6952657B2 · Jahns et al. · 2005 [cited by applicant]
US 7019777B2 · Sun · 2006 [cited by applicant]
US 7123780B2 · Carrig · 2006 [cited by applicant]
US 7198964B1 · Cherry et al. · 2007 [cited by applicant]
US 7379611B2 · Sun et al. · 2008 [cited by applicant]
US 7460237B1 · Cramer · 2008 [cited by examiner]
US 7477960B2 · Willis et al. · 2009 [cited by applicant]
US 7567352B2 · Jin et al. · 2009 [cited by applicant]
US 7589845B1 · Tian et al. · 2009 [cited by applicant]
US 7595869B1 · Tian et al. · 2009 [cited by applicant]
US 7627392B2 · Liu et al. · 2009 [cited by applicant]
US 7636649B2 · Li et al. · 2009 [cited by applicant]
US 7734437B2 · Tian et al. · 2010 [cited by applicant]
US 7742889B2 · Tian et al. · 2010 [cited by applicant]
US 7761178B2 · Tian et al. · 2010 [cited by applicant]
US 7761250B2 · Tian et al. · 2010 [cited by applicant]
US 7808613B2 · Lof · 2010 [cited by applicant]
US 7873585B2 · Izikson · 2011 [cited by applicant]
US 7961306B2 · Li et al. · 2011 [cited by applicant]
US 8142966B2 · Izikson et al. · 2012 [cited by applicant]
US 8170833B2 · Vuong et al. · 2012 [cited by applicant]
US 8173450B1 · Tian et al. · 2012 [cited by applicant]
US 8173451B1 · Tian et al. · 2012 [cited by applicant]
US 8175831B2 · Izikson et al. · 2012 [cited by applicant]
US 8193007B1 · Madriaga et al. · 2012 [cited by applicant]
US 8289527B2 · Li et al. · 2012 [cited by applicant]
US 9110461B2 · Morisawa et al. · 2015 [cited by applicant]
US 9946165B2 · Ypma · 2018 [cited by applicant]
US 10274834B2 · Ypma · 2019 [cited by applicant]
US 20050055175A1 · Jahns et al. · 2005 [cited by applicant]
US 20050071035A1 · Strang · 2005 [cited by applicant]
US 20050071036A1 · Mitrovic · 2005 [cited by applicant]
US 20050071038A1 · Strang · 2005 [cited by applicant]
US 20050071039A1 · Mitrovic · 2005 [cited by applicant]
US 20050115824A1 · Donohue et al. · 2005 [cited by applicant]
US 20050185174A1 · Laan · 2005 [cited by examiner]
US 20050195398A1 · Adel et al. · 2005 [cited by applicant]
US 20060259198A1 · Brcka et al. · 2006 [cited by applicant]
US 20070031065A1 · Sun · 2007 [cited by applicant]
US 20070185684A1 · Vuong · 2007 [cited by examiner]
US 20080030701A1 · Lof · 2008 [cited by applicant]
US 20080170241A1 · Chard et al. · 2008 [cited by applicant]
US 20080233661A1 · Lu et al. · 2008 [cited by applicant]
US 20090063378A1 · Izikson · 2009 [cited by applicant]
US 20090094001A1 · Vuong et al. · 2009 [cited by applicant]
US 20090234687A1 · Tian et al. · 2009 [cited by applicant]
US 20090240537A1 · Tian et al. · 2009 [cited by applicant]
US 20090248339A1 · Tian et al. · 2009 [cited by applicant]
US 20100057237A1 · Kettaneh et al. · 2010 [cited by applicant]
US 20100112467A1 · Chung · 2010 [cited by applicant]
US 20100161132A1 · Bharati et al. · 2010 [cited by applicant]
US 20110081094A1 · Damkar · 2011 [cited by applicant]
US 20110202298A1 · Izikson et al. · 2011 [cited by applicant]
US 20110245955A1 · Li et al. · 2011 [cited by applicant]
US 20110305404A1 · Lin et al. · 2011 [cited by applicant]
US 20120208301A1 · Izikson et al. · 2012 [cited by applicant]
US 20120218533A1 · Lyulina et al. · 2012 [cited by applicant]
US 20130110477A1 · Pandev · 2013 [cited by applicant]
US 20130148130A1 · Li et al. · 2013 [cited by applicant]
US 20130162996A1 · Straaijer · 2013 [cited by examiner]
US 20130173042A1 · Morisawa et al. · 2013 [cited by applicant]
US 20130204418A1 · Chang · 2013 [cited by applicant]
US 20140172394A1 · Kuznetsov et al. · 2014 [cited by applicant]
CN 101751317 · 2010 [cited by applicant]
CN 102361014 · 2012 [cited by applicant]
CN 102435629 · 2012 [cited by applicant]
EP 5299608 · 2013 [cited by applicant]
EP 2526409 · 2018 [cited by applicant]
EP 3005411 · 2018 [cited by applicant]
JP 2008180712 · 2008 [cited by applicant]
JP 2009044215 · 2009 [cited by applicant]
JP 2013138121 · 2013 [cited by applicant]
KR 100640663 · 2006 [cited by applicant]
KR 1020080113352 · 2008 [cited by applicant]
KR 1020090002106 · 2009 [cited by applicant]
WO 2009029851 · 2009 [cited by applicant]
WO 2010075166 · 2010 [cited by applicant]
WO 2011103048 · 2011 [cited by applicant]
WO 2012112959 · 2012 [cited by applicant]
WO 2014059250 · 2014 [cited by applicant]
Notice of Allowance issued in corresponding U.S. Appl. No. 17/836,099, dated Feb. 13, 2024. [cited by applicant]
Office Action issued in corresponding U.S. Appl. No. 17/836,099, dated Jun. 20, 2023. [cited by applicant]
International Search Report and Written Opinion mailed Nov. 27, 2014 in corresponding International Patent Application No. PCT/EP2014/068932. [cited by applicant]
Gregory A. Cherry et al., “Multiblock Principal Component Analysis Based on a Combined Index for Semiconductor Fault Detection and Diagnosis,” IEEE Transactions on Semiconductor Manufacturing, vol. 19, No. 2, pp. 159-17… [cited by applicant]
C.V. Jiji et al., “PCA based Generalized Interpolation for Image Super-Resolution,” Proceedings of the Fourth Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP 2004), Kolkata, India, 6 pages (200… [cited by applicant]
Wikipedia, “Covariance matrix,” Webpage http://en.wikipedia.org/wiki/Covariance_matrix, 5 pages (downloaded Aug. 26, 2013). [cited by applicant]
Wikipedia, “Data reduction,” Webpage http://en.wikipedia.org/wiki/Data_reduction, 1 page (downloaded Aug. 26, 2013). [cited by applicant]
KLA Tencor, Klarity Automated Defect Data Analysis, “Klarity Defect,” Webpage http://www.kla-tencor.com/front-end-defect-inspection/klarity-defect.html, 1 page (downloaded Sep. 24, 2013). [cited by applicant]
KLA Tencor, Klarity Spatial Signature Analysis (SSA), “Klarity SSA,” Webpage http://www.kla-tencor.com/front-end-defect-inspection/klarityssa.html, 1 page (downloaded Sep. 24, 2013). [cited by applicant]
Qoniac, OVALiS, “On-product overlay optimization,” Webpage http://www.qoniac.com/products/ovalis, 2 pages (downloaded Sep. 24, 2013). [cited by applicant]
Qoniac, ONYX, “Overlay Excursion Monitoring & Control,” Webpage http://www.qoniac.com/products/ovalis/onyx, 1 page (downloaded Sep. 24, 2013). [cited by applicant]
Qoniac, OSMIUM, “Diagnostics Toolbox,” Webpage http://www.qoniac.com/products/ovalis/osmium, 1 page (downloaded Sep. 24, 2013). [cited by applicant]
Chun-Yen Huang et al., “Overlay Improvement by Zone Alignment Strategy,” Proc. of SPIE, vol. 6922, pp. 69221G-1-69221G-8 (Mar. 24, 2008). [cited by applicant]
Korean Office Action dated Oct. 31, 2017 in corresponding Korean Patent Application No. 10-2016-7011583. [cited by applicant]
Chinese Office Action dated Jan. 13, 2017 in corresponding Chinese Application No. 201480064342.8 (26 pages). [cited by applicant]
Korean Notice of Allowance issued in corresponding Korean Patent Application No. 10-2016-7011583, dated Jul. 2, 2018. [cited by applicant]
Turner K., et al: “Relationship between localized wafer shape changes induced by residual stress and overlay errors”, Journal of Micro/Nanolithography, MEMS and MOEMS, vol. 11(1), Mar. 21, 2012. [cited by applicant]
Turner K., et al: “Predicting distortions and overlay errors due to wafer deformation during chucking on lithography scanners”, Journal of Micro/Nanolithography, MEMS and MOEMS, vol. 8(4), Nov. 6, 2009. [cited by applicant]
Veeraraghaven S., et al.: “Simulation of non-uniform wafer geometry and thin film residual stress on overlay errors”, Proc. of SPIE, vol. 7971, Apr. 20, 2011. [cited by applicant]
Korean Office Action issued in corresponding Korean Patent Application No. 10-2020-7016831, dated Jul. 30, 2020. [cited by applicant]
Office Action issued in corresponding U.S. Appl. No. 17/836,099, dated Nov. 24, 2023. [cited by applicant]