A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent.
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| Titel: | A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent. |
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| Autoren: | Sun, Haifeng, Zhang, Qingyan, Zhou, Jie, Gong, Jianwen, Jin, Chuan, Zhou, Ji, Liu, Junbo |
| Quelle: | Micromachines; Jul2025, Vol. 16 Issue 7, p798, 15p |
| Schlagwörter: | LITHOGRAPHY, OPTIMIZATION algorithms, EMPIRICAL research, MATHEMATICAL optimization, FABRICATION (Manufacturing) |
| Abstract: | Inverse lithography technology (ILT) based on the gradient descent (GD) algorithm, which is a classical local optimal method, can effectively improve the lithographic imaging fidelity. However, due to the low-pass filtering effect of the lithography imaging system, GD, although able to converge quickly, is prone to fall into the local optimum for the information in the corner region of complex patterns. Considering the high-frequency information of the corner region during the optimization process, this paper proposes a resolution layering method to improve the efficiency of GD-based ILT algorithms. A corner-rounding-inspired target retargeting strategy is used to compensate for the over-optimization defect of GD for inversely optimizing the complex pattern layout. Furthermore, for ensuring the manufacturability of masks, differentiable top-hat and bottom-hat operations are employed to improve the optimization efficiency of the proposed method. To confirm the superiority of the proposed method, multiple optimization methods of ILT were compared. Numerical experiments show that the proposed method has higher optimization efficiency and effectively avoids the over-optimization. [ABSTRACT FROM AUTHOR] |
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| Datenbank: | Complementary Index |
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| Header | DbId: edb DbLabel: Complementary Index An: 186932161 RelevancyScore: 1041 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1040.79833984375 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sun%2C+Haifeng%22">Sun, Haifeng</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qingyan%22">Zhang, Qingyan</searchLink><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jie%22">Zhou, Jie</searchLink><br /><searchLink fieldCode="AR" term="%22Gong%2C+Jianwen%22">Gong, Jianwen</searchLink><br /><searchLink fieldCode="AR" term="%22Jin%2C+Chuan%22">Jin, Chuan</searchLink><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Ji%22">Zhou, Ji</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Junbo%22">Liu, Junbo</searchLink> – Name: TitleSource Label: Source Group: Src Data: Micromachines; Jul2025, Vol. 16 Issue 7, p798, 15p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22LITHOGRAPHY%22">LITHOGRAPHY</searchLink><br /><searchLink fieldCode="DE" term="%22OPTIMIZATION+algorithms%22">OPTIMIZATION algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22EMPIRICAL+research%22">EMPIRICAL research</searchLink><br /><searchLink fieldCode="DE" term="%22MATHEMATICAL+optimization%22">MATHEMATICAL optimization</searchLink><br /><searchLink fieldCode="DE" term="%22FABRICATION+%28Manufacturing%29%22">FABRICATION (Manufacturing)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Inverse lithography technology (ILT) based on the gradient descent (GD) algorithm, which is a classical local optimal method, can effectively improve the lithographic imaging fidelity. However, due to the low-pass filtering effect of the lithography imaging system, GD, although able to converge quickly, is prone to fall into the local optimum for the information in the corner region of complex patterns. Considering the high-frequency information of the corner region during the optimization process, this paper proposes a resolution layering method to improve the efficiency of GD-based ILT algorithms. A corner-rounding-inspired target retargeting strategy is used to compensate for the over-optimization defect of GD for inversely optimizing the complex pattern layout. Furthermore, for ensuring the manufacturability of masks, differentiable top-hat and bottom-hat operations are employed to improve the optimization efficiency of the proposed method. To confirm the superiority of the proposed method, multiple optimization methods of ILT were compared. Numerical experiments show that the proposed method has higher optimization efficiency and effectively avoids the over-optimization. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Micromachines is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/mi16070798 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 798 Subjects: – SubjectFull: LITHOGRAPHY Type: general – SubjectFull: OPTIMIZATION algorithms Type: general – SubjectFull: EMPIRICAL research Type: general – SubjectFull: MATHEMATICAL optimization Type: general – SubjectFull: FABRICATION (Manufacturing) Type: general Titles: – TitleFull: A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Haifeng – PersonEntity: Name: NameFull: Zhang, Qingyan – PersonEntity: Name: NameFull: Zhou, Jie – PersonEntity: Name: NameFull: Gong, Jianwen – PersonEntity: Name: NameFull: Jin, Chuan – PersonEntity: Name: NameFull: Zhou, Ji – PersonEntity: Name: NameFull: Liu, Junbo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2072666X Numbering: – Type: volume Value: 16 – Type: issue Value: 7 Titles: – TitleFull: Micromachines Type: main |
| ResultId | 1 |
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