Synopsys, Inc.

Levi D Barnes

Benjamin David Painter

Qiliang Yan

Jianliang Li

Amyn A Poonawala

Lawrence S Melvin, Iii

Yongfa Fan

Sooryong Lee

Robert M Lugg

Sunggon Jung

Xiaohai Li

Abani M Biswas

Alakananda A Biswas, Legal Representative

One embodiment of the present invention provides a system that determines an assist feature placement within a post-optical proximity correction (post-OPC) mask layout. During operation, the system receives a set of target patterns which represent a set of polygons in a pre-OPC mask layout. The system then constructs a focus-sensitive cost function based on the target patterns, wherein the focus-sensitive cost function represents an amount of movement of post-OPC contours of the target patterns in response to changes in focus condition of the lithography system. Next, the system computes a cost-covariance field (CCF field) based on the focus-sensitive cost function, wherein the CCF field is a two-dimensional (2D) map representing changes to the focus-sensitive cost function due to an addition of a pattern at a given location within the post-OPC mask layout. Finally, the system generates assist features for the post-OPC mask layout based on the CCF field.

Evaluating the quality of an assist feature placement based on a focus-sensitive cost-covariance field

Some embodiments provide techniques and systems to identify locations in a target mask layout for placing assist features. During operation, an embodiment can determine a spatial sampling frequency to sample the target mask layout, wherein sampling the target mask layout at the spatial sampling frequency prevents spatial aliasing in a gradient of a cost function which is used for computing an inverse mask field. Next, the system can generate a grayscale image by sampling the target mask layout at the spatial sampling frequency. The system can then compute the inverse mask field by iteratively modifying the grayscale image. The system can use the gradient of the cost function to guide the iterative modification process. Next, the system can filter the inverse mask field using a morphological operator, and use the filtered inverse mask field to identify assist feature locations in the target mask layout.

Model-based assist feature placement using inverse imaging approach

One embodiment of the present invention provides a system that adjusts assist features in a layout to prevent assist features from printing. During operation, the system receives a layout. The system then identifies an assist-feature (AF)-printing hotspot in the layout, wherein the AF-printing hotspot includes a set of assist features and one or more target patterns in proximity to the set of assist features. At least one assist feature in the set of assist features is expected to print during a lithography process. Next, the system modifies the AF-printing hotspot by: (1) modifying the set of assist features; and (2) performing optical-proximity-correction (OPC) on the one or more target patterns. The system then performs a lithography simulation on the modified AF-printing hotspot to determine if: (1) a through-process-window associated with the modified AF-printing hotspot is acceptable; and (2) no assist feature in the modified set of assist features is expected to print. If so, the system replaces the AF-printing hotspot with the modified AF-printing hotspot.

Method and apparatus for correcting assist-feature-printing errors in a layout

One embodiment of the present invention provides a system that determines an assist feature placement within a post-optical proximity correction (post-OPC) mask layout. During operation, the system receives a set of target patterns which represent a set of polygons in a pre-OPC mask layout. The system then constructs a focus-sensitive cost function based on the target patterns, wherein the focus-sensitive cost function represents an amount of movement of post-OPC contours of the target patterns in response to changes in focus condition of the lithography system. Note that the contours of the target patterns substantially coincide with the edges of set of the polygons. Next, the system computes a cost-covariance field (CCF field) based on the focus-sensitive cost function, wherein the CCF field is a two-dimensional (2D) map representing changes to the focus-sensitive cost function due to an addition of a pattern at a given location within the post-OPC mask layout. Finally, the system generates assist features for the post-OPC mask layout based on the CCF field.

Assist feature placement based on a focus-sensitive cost-covariance field

One embodiment of the present invention determines the effect of placing an assist feature at a location in a layout. During operation, the system receives a first value which was pre-computed by convolving a model with a layout at an evaluation point, wherein the model models semiconductor manufacturing processes. Next, the system determines a second value by convolving the model with an assist feature, which is assumed to be located at a first location which is in proximity to the evaluation point. The system then determines the effect of placing an assist feature using the first value and the second value. An embodiment of the present invention can be used to determine a substantially optimal location for placing an assist feature in a layout.

Method and apparatus for quickly determining the effect of placing an assist feature at a location in a layout

One embodiment of the present invention provides a system that determines an assist feature placement. During operation, the system receives an initial assist feature placement for a layout. Next, the system determines assist feature perturbations using the initial assist feature placement. An assist feature perturbation typically comprises a few simple polygons. The system then determines perturbation values at evaluation points in the layout using the assist feature perturbations and an analytical model. If a process-sensitivity model is used, the perturbation value at an evaluation point is associated with the change in the through-process window at that point in the layout. Next, the system determines a change in the value of an objective function using the perturbation values. The objective function can be indicative of the overall manufacturability of the layout. The system then determines an assist feature placement using the change in the value of the objective function. For example, the system can determine an assist feature placement using an assist feature perturbation which minimizes the objective function value.

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Hillsboro, OR, United States of America

Levi D Barnes