Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method
Abstract Numerical simulation plays an important role for the prediction of optical trapping based on plasmonic nano-optical tweezers. However, complicated structures and drastic local field enhancement of plasmonic effects bring great challenges to traditional numerical methods. In this article, an...
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2019-08-01
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Online Access: | http://link.springer.com/article/10.1186/s11671-019-3131-7 |
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doaj-2e3aa1bcb5884f558f7ee4255f54dc502020-11-25T03:34:51ZengSpringerOpenNanoscale Research Letters1931-75731556-276X2019-08-0114111410.1186/s11671-019-3131-7Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting MethodTing Wan0Benliu Tang1College of Telecommunications and Information Engineering, Nanjing University of Posts and TelecommunicationsCollege of Telecommunications and Information Engineering, Nanjing University of Posts and TelecommunicationsAbstract Numerical simulation plays an important role for the prediction of optical trapping based on plasmonic nano-optical tweezers. However, complicated structures and drastic local field enhancement of plasmonic effects bring great challenges to traditional numerical methods. In this article, an accurate and efficient numerical simulation method based on a dual-primal finite element tearing and interconnecting (FETI-DP) and Maxwell stress tensor is proposed, to calculate the optical force and potential for trapping nanoparticles. A low-rank sparsification approach is introduced to further improve the FETI-DP simulation performance. The proposed method can decompose a large-scale and complex problem into small-scale and simple problems by using non-overlapping domain division and flexible mesh discretization, which exhibits high efficiency and parallelizability. Numerical results show the effectiveness of the proposed method for the prediction and analysis of optical trapping at nanoscale.http://link.springer.com/article/10.1186/s11671-019-3131-7Optical trappingOptical forceNanoparticleSurface plasmonNumerical simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ting Wan Benliu Tang |
spellingShingle |
Ting Wan Benliu Tang Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method Nanoscale Research Letters Optical trapping Optical force Nanoparticle Surface plasmon Numerical simulation |
author_facet |
Ting Wan Benliu Tang |
author_sort |
Ting Wan |
title |
Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method |
title_short |
Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method |
title_full |
Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method |
title_fullStr |
Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method |
title_full_unstemmed |
Efficient Prediction and Analysis of Optical Trapping at Nanoscale via Finite Element Tearing and Interconnecting Method |
title_sort |
efficient prediction and analysis of optical trapping at nanoscale via finite element tearing and interconnecting method |
publisher |
SpringerOpen |
series |
Nanoscale Research Letters |
issn |
1931-7573 1556-276X |
publishDate |
2019-08-01 |
description |
Abstract Numerical simulation plays an important role for the prediction of optical trapping based on plasmonic nano-optical tweezers. However, complicated structures and drastic local field enhancement of plasmonic effects bring great challenges to traditional numerical methods. In this article, an accurate and efficient numerical simulation method based on a dual-primal finite element tearing and interconnecting (FETI-DP) and Maxwell stress tensor is proposed, to calculate the optical force and potential for trapping nanoparticles. A low-rank sparsification approach is introduced to further improve the FETI-DP simulation performance. The proposed method can decompose a large-scale and complex problem into small-scale and simple problems by using non-overlapping domain division and flexible mesh discretization, which exhibits high efficiency and parallelizability. Numerical results show the effectiveness of the proposed method for the prediction and analysis of optical trapping at nanoscale. |
topic |
Optical trapping Optical force Nanoparticle Surface plasmon Numerical simulation |
url |
http://link.springer.com/article/10.1186/s11671-019-3131-7 |
work_keys_str_mv |
AT tingwan efficientpredictionandanalysisofopticaltrappingatnanoscaleviafiniteelementtearingandinterconnectingmethod AT benliutang efficientpredictionandanalysisofopticaltrappingatnanoscaleviafiniteelementtearingandinterconnectingmethod |
_version_ |
1724557117184016384 |