Asml Masktools B.v.

Uwe Hollerbach

Thomas Laidig

Jang Fung Chen

Kurt E Wampler

Xuelong Shi

Markus Franciscus Antonius Eurlings

Ralph Schlief

Douglas Van Den Broeke

Melchior Mulder

A method for minimizing rippling of features when imaged on a surface of a substrate using a mask. The method includes the steps of determining a deviation between a first representation of the design and a second representation of an image of the design at each of a plurality of evaluation points for each section of a plurality of sections of the design; determining an amount of modification of the design at each section based on an evaluation of the plurality of evaluation points; and modifying the design at each section by the amount determined in the previous step.

Apparatus, method and program product for suppressing waviness of features to be printed using photolithographic systems

A method for generating a photolithography mask for optically transferring a pattern formed in the mask onto a substrate utilizing an imaging system. The method includes the steps of: (a) defining a set of calibration patterns, which are represented in a data format; (b) printing the calibration patterns on a substrate utilizing the given imaging system; (c) determining a first set of contour patterns corresponding to the calibration patterns imaged on the substrate; (d) generating a system pseudo-intensity function, which approximates the imaging performance of the imaging system; (e) determining a second set of contour patterns by utilizing the system pseudo-intensity function to define how the calibration patterns will be imaged in the substrate; (f) comparing the first set of contour patterns and the second set of contour patterns to determine the difference therebetween; (g) adjusting the system pseudo-intensity function until the difference between the first set of contour patterns and the second set of contour patterns is below a predefined criteria; and (h) utilizing the adjusted system pseudo-intensity function to modify the mask so as to provide for optical proximity correction.

Method of two dimensional feature model calibration and optimization

Disclosed concepts include a method, program product and apparatus for generating assist features for a pattern to be formed on the surface of a substrate by generating an image field map corresponding to the pattern. Characteristics are extracted from the image field map, and assist features are generated for the pattern in accordance with the characteristics extracted in step. The assist features may be oriented relative to a dominant axis of a contour of the image field map. Also, the assist features may be polygon-shaped and sized to surround the contour or relative to the inside of the contour. Moreover, the assist features may be placed in accordance with extrema identified from the image field map. Utilizing the image field map, a conventional and complex two-dimensional rules-based approach for generating assist feature can be obviated.

Method, program product and apparatus for generating assist features utilizing an image field map

Model Based Optical Proximity Correction (MOPC) biasing techniques may be utilized for optimizing a mask pattern. However, conventional MOPC techniques do not account for influence from neighboring features on a mask. This influence may be factored in the following manner&#x2014;first, generating a predicted pattern from a target pattern and selecting a plurality of evaluation points at which biasing may be determined. Next, a set of multivariable equations are generated for each evaluation point, each equation representing influence of neighboring features on a mask. The equations are solved to determine that amount of bias at each evaluation point, and the mask is optimized accordingly. This process may be repeated until the mask pattern is further optimized.

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Franklin, MA, United States of America

Uwe Hollerbach