IP Library Granted Patent US 8,161,422
Granted Patent B2
US 8,161,422 · App. 12/349,108 · Granted Apr 17, 2012

Fast and accurate method to simulate intermediate range flare effects

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Quick Facts
Patent No.
US 8,161,422
App. No.
12/349,108
Granted
Apr 17, 2012
Kind
B2
Abstract

A method is provided for modeling lithographic processes in the design of photomasks for the manufacture of semiconductor integrated circuits, and more particularly for simulating intermediate range flare effects. For a region of influence (ROI) from first ROI 1 of about 5λ/NA to distance ROI 2 when the point spread function has a slope that is slowly varying according to a predetermined criterion, then mask shapes at least within the distance range from ROI 1 to ROI 2 are smoothed prior to computing the SOCS convolutions. The method provides a fast method for simulating intermediate range flare effects with sufficient accuracy.

Claims (92)

1. A method of designing a lithographic mask including the use of a lithographic process model for simulating an image formed by illumination of the lithographic mask in a lithographic system, the method comprising:

determining a first region of influence (ROI 1 ) around a point of interest on a mask design, such that mask features within said first ROI 1 will contribute a relatively large amount of flare energy at said point of interest;

determining a second region of influence (ROI 2 ) around said point of interest, such that mask features outside of said ROI 2 will contributed a relatively small amount of flare energy at said point of interest in accordance with a predetermined criterion, such that the region between ROI 1 and ROI 2 comprises an intermediate region of influence (intermediate ROI);

identifying an initial mask polygon shape having a first plurality of vertices located within the intermediate ROI;

smoothing said initial mask polygon shape to form a smoothed mask polygon shape that has fewer vertices within the intermediate ROI than said first plurality of vertices;

determining, by using a computer, a smoothed flare contribution at said point of interest from said vertices of said smoothed mask polygon within the intermediate ROI; and

determining an image at the point of interest comprising using said smoothed flare contribution in the lithographic process model rather than a flare contribution from said initial mask polygon shape;

wherein said predetermined criterion comprises a slope cutoff for determining when a slope of a point spread function of the lithographic system is close to zero.

2. The method according to claim 1 , wherein said ROI 1 has an outer boundary at a distance of about 5λ/NA around the point of interest, where λ is the wavelength of the illumination energy and NA is the numerical aperture of the lithographic system.

3. The method according to claim 1 , wherein the point spread function (h) [h({right arrow over (r)}−{right arrow over (r)} Avg )] is a function of distance [({right arrow over (r)}−{right arrow over (r)} Avg )] from a point of interest ({right arrow over (r)}), and the point spread function has the form h∝K/({right arrow over (r)}−{right arrow over (r)}′) γ , where K is a constant, {right arrow over (r)} is a point of interest, {right arrow over (r)} first dummy distance variable in the optical coordinate system from the point of interest {right arrow over (r)}, and γ is the flare kernel parameter and is experimentally determined, and wherein the slope of the point spread function is given by

h

(

r

-

r

Avg

)

r

,

where

r

Avg

=

r

+

r

′′

2

,

and {right arrow over (r)}″ is a second dummy distance variable in the optical coordinate system from the point of interest {right arrow over (r)}.

4. The method according to claim 1 , wherein said intermediate ROI is further divided into a plurality of sub-intermediate ROIs, and wherein a different amount of smoothing is performed in at least one of said plurality of sub-intermediate ROIs than in another of said plurality of sub-intermediate ROIs.

5. The method according to claim 4 , wherein the amount of smoothing in a sub-intermediate ROI depends on the proximity of said sub-intermediate ROI to said point of interest.

6. The method according to claim 1 , wherein said smoothing is performed by a sequential grow and shrink operation or a low-pass filtering in a spatial frequency domain.

7. The method according to claim 1 , wherein in said step of determining an image at the point of interest comprises determining a flare contribution from within said first ROI 1 using mask features within said first ROI 1 that are not smoothed.

8. The method according to claim 1 , wherein in said step of determining an image at the point of interest comprises determining a flare contribution from mask features located beyond said second ROI 2 using a density mapping approach.

9. The method according to claim 1 , wherein said image is provided for use in an optical proximity correction methodology or in a mask verification methodology.

10. A computer program product comprising a computer readable storage device having a computer readable program embodied in said medium, for designing a lithographic mask, including a lithographic process model for simulating an image formed by illumination of the lithographic mask in a lithographic system wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

determining a first region of influence (ROI 1 ) around a point of interest on the mask design, such that mask features within said first ROI 1 will contribute a relatively large amount of flare energy at said point of interest;

determining a second region of influence (ROI 2 ) around said point of interest, such that mask features outside of said ROI 2 will contributed a relatively small amount of flare energy at said point of interest in accordance with a predetermined criterion, such that the region between ROI 1 and ROI 2 comprises an intermediate region of influence (intermediate ROI);

identifying an initial mask polygon shape having a first plurality of vertices located within the intermediate ROI; and

smoothing said initial mask polygon shape to form a smoothed mask polygon shape that has fewer vertices within the intermediate ROI than said first plurality of vertices;

determining a smoothed flare contribution at said point of interest from said vertices of said smoothed mask polygon within the intermediate ROI;

determining an image at the point of interest comprising using said smoothed flare contribution in the lithographic process model rather than a flare contribution from said initial mask polygon shape; and

wherein said predetermined criterion comprises a slope cutoff for determining when a slope of a point spread function of the lithographic system is close to zero.

11. The computer program product according to claim 10 , wherein said ROI 1 has an outer boundary at a distance of about 5λ/NA around the point of interest, where λ is the wavelength of the illumination energy and NA is the numerical aperture of the lithographic system.

12. The computer program product according to claim 10 , wherein the point spread function (h)[h({right arrow over (r)}−{right arrow over (r)} Avg )] is a function of distance [{right arrow over (r)}−{right arrow over (r)} Avg ] from a point of interest ({right arrow over (r)}), and the point spread function has the form h∝K/({right arrow over (r)}−{right arrow over (r)}′) γ , where K is a constant, {right arrow over (r)} is a point of interest, {right arrow over (r)}′ is a first dummy distance variable in the optical coordinate system from the point of interest {right arrow over (r)}, and γ is the flare kernel parameter and is experimentally determined, and wherein the slope of the point spread function is given by

h

(

r

-

r

Avg

)

r

,

where

r

Avg

=

r

+

r

′′

2

,

and where {right arrow over (r)}″ is a second dummy distance variable in the optical coordinate system from the point of interest {right arrow over (r)}.

13. The computer program product according to claim 10 , wherein said intermediate ROI is further divided into a plurality of sub-intermediate ROIs, and wherein a different amount of smoothing is performed in at least one of said plurality of sub-intermediate ROIs than in another of said plurality of sub-intermediate ROIs.

14. The computer program product according to claim 13 , wherein the amount of smoothing in a sub-intermediate ROI depends on the proximity of said sub-intermediate ROI to said point of interest.

15. The computer program product according to claim 10 , wherein said smoothing is performed by a sequential grow and shrink operation or a low-pass filtering in a spatial frequency domain.

16. The computer program product according to claim 10 , wherein in said step of determining an image at the point of interest comprises determining a flare contribution from within said first ROI 1 using mask features within said first ROI 1 that are not smoothed.

17. The computer program product according to claim 10 , wherein in said step of determining an image at the point of interest comprises determining a flare contribution from mask features located beyond said second ROI 2 using a density mapping approach.

18. The computer program product according to claim 10 , wherein said image is provided for use in an optical proximity correction methodology or in a mask verification methodology.

Assignments (3)
MERGER AND CHANGE OF NAME Recorded Jun 28, 2021
From: MENTOR GRAPHICS CORPORATION; SIEMENS INDUSTRY SOFTWARE INC.
To: SIEMENS INDUSTRY SOFTWARE INC.
Reel/Frame 056696/0081 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 1, 2013
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: MENTOR GRAPHICS CORPORATION
Reel/Frame 029733/0156 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 26, 2009
From: MUKHERJEE, MAHARAJ; CULP, JAMES A.; MANSFIELD, SCOTT M.; LAI, KAFAI; ROSENBLUTH, ALAN E.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 022316/0331 →