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Hauptverfasser: Yi, Xiaoru, Chen, Junqing
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2504.11962
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author Yi, Xiaoru
Chen, Junqing
author_facet Yi, Xiaoru
Chen, Junqing
contents In this paper, we propose a novel gradient-based method to optimize curvilinear masks in optical lithography. The mask pattern is represented by periodic B-spline curves. We apply Delaunay triangulation to discretize the domains circled by the spline curves. Subsequently, we establish an explicit relationship between the integral points and the control points of the boundary spline curve. Based on the relationship, we derive explicit formulas of the gradient of the optimization objective function with respect to the coordinates of the control points. Then we propose an inverse lithography algorithm to optimize the curvilinear mask pattern. Finally, the results of the numerical experiments demonstrate the feasibility and extensive adaptability of our method.
format Preprint
id arxiv_https___arxiv_org_abs_2504_11962
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Curvilinear Mask Optimization for Inverse Lithography Based on B-splines and Delaunay Triangulation
Yi, Xiaoru
Chen, Junqing
Optimization and Control
In this paper, we propose a novel gradient-based method to optimize curvilinear masks in optical lithography. The mask pattern is represented by periodic B-spline curves. We apply Delaunay triangulation to discretize the domains circled by the spline curves. Subsequently, we establish an explicit relationship between the integral points and the control points of the boundary spline curve. Based on the relationship, we derive explicit formulas of the gradient of the optimization objective function with respect to the coordinates of the control points. Then we propose an inverse lithography algorithm to optimize the curvilinear mask pattern. Finally, the results of the numerical experiments demonstrate the feasibility and extensive adaptability of our method.
title Curvilinear Mask Optimization for Inverse Lithography Based on B-splines and Delaunay Triangulation
topic Optimization and Control
url https://arxiv.org/abs/2504.11962