Optical proximity correction (OPC) technique using generalized figure of merit for photolithograhic processing

Claim 3

The method according to claim 1 , further comprising e) generating a revised plurality of individual figure of merit values associated with the revised corrected reticle layout and generating a revised GFOM using the revised plurality of individual figure of merit values.

Claim 4

The method according to claim 2 , wherein an equation defining the revised second GFOM differs from an equation defining the GFOM of c).

Claim 5

The method according to claim 2 , wherein d) to e) are iteratively carried out on the revised corrected reticle layout of the previous iteration guided by the GFOM associated with the revised corrected reticle layout of the previous iteration until the GFOM of e) indicates an acceptable convergence on a reticle layout that accounts for optical distortion and at least one process factor.

Claim 6

The method according to claim 1 , wherein an equation defining the GFOM is user definable.

Claim 7

The method according to claim 1 , wherein at least one of the individual figure of merit values is user definable.

Claim 8

The method according to claim 1 , wherein the individual figure of merit values are selected from edge placement error, image contrast, depth of focus, image slope, fragmentation complexity and combinations thereof.

Claim 9

The method according to claim 1 , wherein the individual figure of merit values include at least image contrast.

Claim 10

The method according to claim 1 , wherein the individual figure of merit values include at least depth of focus.

Claim 11

The method according to claim 1 , wherein the individual figure of merit values include at least image slope.

Claim 12

The method according to claim 1 , wherein the individual figure of merit values include at least fragmentation complexity.

Claim 13

The method according to claim 1 , wherein the GFOM is a weighted sum of each individual figure of merit value.

Claim 14

The method according to claim 1 , wherein a) to d) are carried out for a portion of the reticle layout topology defined by a logical window.

Claim 15

The method according to claim 1 , wherein the GFOM is calculated to account for process variations to which the OPC edge segment manipulations make the corrected reticle layout unstable.

Claim 16

A program embodied in computer readable medium to make optical proximity corrections to a reticle layout topology, comprising: a) code that manipulates edge segments of the reticle layout topography using optical proximity correction (OPC) to generate a corrected reticle layout accounting for optical distortions; b) code that generates a plurality of individual figure of merit values each of which are associated with the corrected reticle layout and correspond to a different process metric; c) code that generates a generalized figure of merit (GFOM) using the plurality of individual figure of merit values; and d) code that manipulates the edge segments of the corrected reticle layout to arrive at a revised corrected reticle layout using OPC guided by the GFOM as a convergence benchmark that indicates a degree of optimization of local critical dimension (CD) accuracy.

Claim 17

A program embodied in computer readable medium to make optical proximity corrections to a reticle layout topology, comprising: a) code that manipulates edge segments of the reticle layout topography using optical proximity correction (OPC) to generate a corrected reticle layout accounting for optical distortions; b) code that generates a plurality of individual figure of merit values each of which are associated with the corrected reticle layout and correspond to a different process metric; c) code that generates a generalized figure of merit (GFOM) using the plurality of individual figure of merit values; and d) code that manipulates the edge segments of the corrected reticle layout to arrive at a revised corrected reticle layout using OPC guided by the GFOM as a convergence benchmark that indicates a degree of optimization of local critical dimension (CD) accuracy.

Claim 18

The program embodied in computer readable medium according to claim 15 , further comprising: e) code that generates a revised plurality of individual figure of merit values associated with the revised corrected reticle layout and generates a revised GFOM using the revised plurality of individual figure of merit values.

Claim 19

The program embodied in computer readable medium according to claim 16 , wherein an equation defining the revised GFOM differs from an equation defining the GFOM of c).

Claim 20

The program embodied in computer readable medium according to claim 16 , further comprising code that iteratively carries out d) to e) on the revised corrected reticle layout of the previous iteration guided by the GFOM associated with the revised corrected reticle layout of the previous iteration until the GFOM indicates an acceptable convergence on a reticle layout that accounts for optical distortion and at least on process factor.

Claim 21

The program embodied in computer readable medium according to claim 15 , wherein the individual figure of merit values are selected from edge placement error, image contrast, depth of focus, image slope, fragmentation complexity and combinations thereof.

Claim 22

The program embodied in computer readable medium according to claim 15 , wherein the GFOM is a weighted sum of each individual figure of merit value.

Claim 23

The program embodied in computer readable medium according to claim 15 , wherein a) to d) are carried out for a portion of the reticle layout topology defined by a logical window.

Claim 24

The program embodied in computer readable medium according to claim 15 , wherein the GFOM is calculated to account for process variations to which the OPC edge segment manipulations make the corrected reticle layout unstable.