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Fast-Converging Iterative Gradient Decent Methods for High Pattern Fidelity Inverse Mask Design

dc.citation.volume7640en_US
dc.contributor.authorYu, Jue-Chinen_US
dc.contributor.authorYu, Peichenen_US
dc.contributor.department光電工程學系zh_TW
dc.contributor.departmentDepartment of Photonicsen_US
dc.date.accessioned2014-12-08T15:23:28Z
dc.date.available2014-12-08T15:23:28Z
dc.date.issued2010en_US
dc.description.abstractConvergence speed and local minimum issue have been the major issues for inverse lithography. In this paper, we propose an inverse algorithm that employs an iterative gradient-descent method to improve convergence and reduce the Edge Placement Error (EPE). The algorithm employs a constrained gradient-based optimization to attain the fast converging speed, while a cross-weighting technique is introduced to overcome the local minimum trapping.en_US
dc.identifier.doi10.1117/12.846568en_US
dc.identifier.isbn978-0-8194-8054-5en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.journalOPTICAL MICROLITHOGRAPHY XXIIIen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.846568en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/16433
dc.identifier.wosnumberWOS:000285084400086
dc.language.isoen_USen_US
dc.subjectoptical proximity correctionen_US
dc.subjectinverse lithographyen_US
dc.subjectimage gradienten_US
dc.titleFast-Converging Iterative Gradient Decent Methods for High Pattern Fidelity Inverse Mask Designen_US
dc.typeArticleen_US

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