Samsung Electronics Co., Ltd.

Sangchul Yeo

Hyeok Jong Lee

Sooryong Lee

Jaewon Yang

Narak Choi

Eunju Kim

An operating method of a computing device for predicting a profile using deep learning includes sampling a unique pattern in a full chip, extracting a contour of a resist profile of each of a plurality of heights by performing rigorous simulation corresponding to the unique pattern, preparing an input image and an output image corresponding to the contour of each of the plurality of heights, performing deep learning on the extracted contour using the input image and the output image, and generating a profile prediction model according to performing of the deep leaning.

Computing device for predicting a profile using deep learning and operating method thereof

An optical proximity correction method includes extracting edges of a layout of a pattern on a mask, including at least one edge of the layout that is a curvilinear edge, and generating an optical image of the pattern by applying an edge filter, which includes an any-angle filter corresponding to an angle of the curvilinear edge, to the extracted edges of the layout. The any-angle filter may be generated using source sector rotation to correspond to the angle of the curvilinear edge.

Growing community of inventors

Osan-si, South Korea

Sangchul Yeo