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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Main Authors: Ting Wan, Benliu Tang
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Nanoscale Research Letters
Subjects:
Online Access:http://link.springer.com/article/10.1186/s11671-019-3131-7
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spelling 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
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