Manufacturing method for photomask, and photomask
US-2024427229-A1 · Dec 26, 2024 · US
US9934346B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9934346-B2 |
| Application number | US-201514968561-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 14, 2015 |
| Priority date | Jan 10, 2012 |
| Publication date | Apr 3, 2018 |
| Grant date | Apr 3, 2018 |
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Disclosed herein is a computer-implemented method for improving a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method comprising defining a multi-variable cost function, the multi-variable cost function being a function of a stochastic effect of the lithographic process.
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What is claimed is: 1. A method of improving a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method comprising: defining a multi-variable cost function, the multi-variable cost function being a function of a stochastic effect of the lithographic process, the stochastic effect being a function of a plurality of design variables that are characteristics of the lithographic process; and reconfiguring, by a hardware computer, one or more of the characteristics of the lithographic process by adjusting one or more of the design variables and evaluating the cost function with the adjusted one or more design variables until a certain termination condition of the cost function is satisfied, wherein the adjusted one or more variables are used to design, control and/or modify an aspect of the lithographic process and/or the lithographic projection apparatus. 2. The method of claim 1 , wherein the stochastic effect comprises line width roughness (LWR), a throughput of the lithographic projection apparatus and/or local CD variation. 3. The method of claim 1 , wherein the stochastic effect is simulated using a model of the stochastic effect. 4. The method of claim 3 , wherein the model of the stochastic effect combines line width roughness (LWR) with critical dimension uniformity (CDU). 5. The method of claim 1 , wherein the stochastic effect is caused by photon shot noise, photon-generated secondary electrons, photon-generated acid in a resist of the substrate, distribution of photon-activatable or electron-activatable particles in a resist of the substrate, density of photon-activatable or electron-activatable particles in a resist of the substrate, or a combination thereof. 6. The method of claim 1 , wherein the cost function is evaluated using the portion of the design layout and the portion of the design layout comprises one or more selected from the following: an entire design layout, a clip, a section of a design layout that is known to have one or more critical features, a section of the design layout where a hot spot or a warm spot has been identified, and/or a section of the design layout where one or more critical features have been identified. 7. The method of claim 1 , wherein the termination condition includes one or more selected from the following: minimization of the cost function; maximization of the cost function; reaching a certain number of iterations; reaching a value of the cost function equal to or beyond a certain threshold value; reaching a certain computation time; reaching a value of the cost function within an acceptable error limit; and/or minimizing an exposure time in the lithographic process. 8. The method of claim 1 , wherein one or more of the design variables comprise a characteristic of an illumination source for the lithographic projection apparatus, and/or one or more of the design variables comprise a characteristic of the design layout, and/or one or more of the design variables comprise a characteristic of projection optics of the lithographic projection apparatus, and/or one or more of the design variables comprise a characteristic of a resist of the substrate. 9. The method of claim 1 , wherein the reconfiguration comprises constraints dictating a range of at least some of the design variables. 10. The method of claim 9 , wherein at least some of the design variables are under constraints representing physical restrictions in a hardware implementation of the lithographic projection apparatus. 11. The method of claim 10 , wherein the constraints include one or more selected from: a tuning range, a rule governing patterning device manufacturability, and/or interdependence between the design variables. 12. The method of claim 9 , wherein the constraints include, or are determined by, a desired substrate throughput of the lithographic projection apparatus. 13. The method of claim 1 , wherein the cost function is a function of one or more of the following: edge placement error, critical dimension, resist contour distance, worst defect size, and/or best focus shift. 14. The method of claim 1 , wherein the cost function comprises characteristics of a resist image or an aerial image. 15. The method of claim 1 , wherein the cost function is minimized by solving a quadratic programming problem. 16. The method of claim 1 , wherein the cost function is a function of only the design variables that are characteristics of a projection optics of the lithographic projection apparatus, while other design variables are assigned values. 17. The method of claim 1 , wherein the cost function represents a probability of finding a hot spot in the portion of the design layout. 18. The method of claim 1 , wherein the multi-variable cost function is a function of an edge placement error, a throughput of the lithographic projection apparatus, and a stochastic effect of the lithographic process. 19. The method of claim 1 , wherein at least one of the design variables represents an adjustment to a wavefront manipulator of the lithographic projection apparatus. 20. The method of claim 1 , wherein the plurality of design variables includes at least a parameter of the design layout. 21. The method of claim 1 , further comprising generating an output file to be stored in the computer, the output file comprising adjusted values of the one or more design variables at the termination condition. 22. The method of claim 1 , wherein the values of the adjusted one or more design variables result in an expanded lithography process window. 23. The method of claim 1 , wherein the lithographic process uses extreme ultra-violet (EUV) wavelength. 24. The method of claim 1 , comprising determining a stochastic effect function of the lithographic process that produces as an output a value of a stochastic effect as a function of the plurality of design variables that are inputs to the function and which cause quantifiable changes in the stochastic effect value, wherein the plurality of design variables include at least an adjustable parameter of projection optics of the lithographic projection apparatus. 25. A method of increasing a substrate throughput of a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method comprising: defining a multi-variable cost function, the multi-variable cost function being a function of a stochastic effect of the lithographic process, and being a function of an exposure time of the substrate in the lithographic projection apparatus, the stochastic effect being a function of a plurality of design variables that are characteristics of the lithographic process; and reconfiguring, by a hardware computer, one or more of the characteristics of the lithographic process by adjusting one or more of the design variables and evaluating the cost function with the adjusted one or more design variables until a certain termination condition of the cost function is satisfied, wherein the adjusted one or more variables are used to design, control and/or modify an aspect of the lithographic process and/or the lithographic projection apparatus. 26. The method of claim 25 , wherein the termination condition is that the exposure time is minimized. 27. The method of claim 25 , further comprising generating an output file to be stored in the comput
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