Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication

Quantitative analysis of line edge roughness (LER) is very important for understanding the root causes of LER and thereby improving the pattern quality in near-field lithography (NFL), because LER has become the main limiter of critical dimension (CD) control as the feature size of nanostructures is...

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Main Authors: Han Dandan, Park Changhoon, Oh Seonghyeon, Jung Howon, Hahn Jae W.
Format: Article
Language:English
Published: De Gruyter 2019-04-01
Series:Nanophotonics
Subjects:
Online Access:https://doi.org/10.1515/nanoph-2019-0031
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spelling doaj-11367dc8f8a04a80a054ba42bfdc6f1a2021-09-06T19:20:32ZengDe GruyterNanophotonics2192-86062192-86142019-04-018587988810.1515/nanoph-2019-0031nanoph-2019-0031Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabricationHan Dandan0Park Changhoon1Oh Seonghyeon2Jung Howon3Hahn Jae W.4Nano Photonics Laboratory, School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of KoreaNano Photonics Laboratory, School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of KoreaNano Photonics Laboratory, School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of KoreaNano Photonics Laboratory, School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of KoreaNano Photonics Laboratory, School of Mechanical Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of KoreaQuantitative analysis of line edge roughness (LER) is very important for understanding the root causes of LER and thereby improving the pattern quality in near-field lithography (NFL), because LER has become the main limiter of critical dimension (CD) control as the feature size of nanostructures is scaled down. To address this challenge, the photoresist point-spread function of NFL with a contact plasmonic ridge nanoaperture can be employed to account for the physical and chemical effects involved in the LER-generation mechanism. Our theoretical and experimental results show that the sources of LER in NFL mainly come from the aerial image, material chemistry, and process. Importantly, the complicated decay characteristics of surface plasmon waves are demonstrated to be the main optical contributor. Because the evanescent mode of surface plasmon polaritons (SPPs) and quasi-spherical waves (QSWs) decay in the lateral direction, they can induce a small image log-slope and low photoresist contrast, leading to a large LER. We introduce an analytical model and demonstrate the relationship between LER and CD to estimate the pattern quality in NFL. We expect that these results can provide alternative approaches to further improve pattern uniformity and resolution, which can lead to advanced nanopatterning results in NFL.https://doi.org/10.1515/nanoph-2019-0031line edge roughnessnear-field lithographysurface plasmon wavesimage log-sloperesist contrastpoint-spread function
collection DOAJ
language English
format Article
sources DOAJ
author Han Dandan
Park Changhoon
Oh Seonghyeon
Jung Howon
Hahn Jae W.
spellingShingle Han Dandan
Park Changhoon
Oh Seonghyeon
Jung Howon
Hahn Jae W.
Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
Nanophotonics
line edge roughness
near-field lithography
surface plasmon waves
image log-slope
resist contrast
point-spread function
author_facet Han Dandan
Park Changhoon
Oh Seonghyeon
Jung Howon
Hahn Jae W.
author_sort Han Dandan
title Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
title_short Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
title_full Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
title_fullStr Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
title_full_unstemmed Quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
title_sort quantitative analysis and modeling of line edge roughness in near-field lithography: toward high pattern quality in nanofabrication
publisher De Gruyter
series Nanophotonics
issn 2192-8606
2192-8614
publishDate 2019-04-01
description Quantitative analysis of line edge roughness (LER) is very important for understanding the root causes of LER and thereby improving the pattern quality in near-field lithography (NFL), because LER has become the main limiter of critical dimension (CD) control as the feature size of nanostructures is scaled down. To address this challenge, the photoresist point-spread function of NFL with a contact plasmonic ridge nanoaperture can be employed to account for the physical and chemical effects involved in the LER-generation mechanism. Our theoretical and experimental results show that the sources of LER in NFL mainly come from the aerial image, material chemistry, and process. Importantly, the complicated decay characteristics of surface plasmon waves are demonstrated to be the main optical contributor. Because the evanescent mode of surface plasmon polaritons (SPPs) and quasi-spherical waves (QSWs) decay in the lateral direction, they can induce a small image log-slope and low photoresist contrast, leading to a large LER. We introduce an analytical model and demonstrate the relationship between LER and CD to estimate the pattern quality in NFL. We expect that these results can provide alternative approaches to further improve pattern uniformity and resolution, which can lead to advanced nanopatterning results in NFL.
topic line edge roughness
near-field lithography
surface plasmon waves
image log-slope
resist contrast
point-spread function
url https://doi.org/10.1515/nanoph-2019-0031
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AT parkchanghoon quantitativeanalysisandmodelingoflineedgeroughnessinnearfieldlithographytowardhighpatternqualityinnanofabrication
AT ohseonghyeon quantitativeanalysisandmodelingoflineedgeroughnessinnearfieldlithographytowardhighpatternqualityinnanofabrication
AT junghowon quantitativeanalysisandmodelingoflineedgeroughnessinnearfieldlithographytowardhighpatternqualityinnanofabrication
AT hahnjaew quantitativeanalysisandmodelingoflineedgeroughnessinnearfieldlithographytowardhighpatternqualityinnanofabrication
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