Computing parametrized solutions for plasmonic nanogap structures.
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| Title: | Computing parametrized solutions for plasmonic nanogap structures. |
|---|---|
| Authors: | Vidal-Codina, F.1 fvidal@mit.edu, Nguyen, N.C.1 cuongng@mit.edu, Peraire, J.1 peraire@mit.edu |
| Source: | Journal of Computational Physics. Aug2018, Vol. 366, p89-106. 18p. |
| Subjects: | Plasmonics, Parameter estimation, Wavelengths, Measurement errors, Electromagnetic fields |
| Abstract: | The interaction of electromagnetic waves with metallic nanostructures generates resonant oscillations of the conduction-band electrons at the metal surface. These resonances can lead to large enhancements of the incident field and to the confinement of light to small regions, typically several orders of magnitude smaller than the incident wavelength. The accurate prediction of these resonances entails several challenges. Small geometric variations in the plasmonic structure may lead to large variations in the electromagnetic field responses. Furthermore, the material parameters that characterize the optical behavior of metals at the nanoscale need to be determined experimentally and are consequently subject to measurement errors. It then becomes essential that any predictive tool for the simulation and design of plasmonic structures accounts for fabrication tolerances and measurement uncertainties. In this paper, we develop a reduced order modeling framework that is capable of real-time accurate electromagnetic responses of plasmonic nanogap structures for a wide range of geometry and material parameters. The main ingredients of the proposed method are: (i) the hybridizable discontinuous Galerkin method to numerically solve the equations governing electromagnetic wave propagation in dielectric and metallic media, (ii) a reference domain formulation of the time-harmonic Maxwell's equations to account for arbitrary geometry variations; and (iii) proper orthogonal decomposition and empirical interpolation techniques to construct an efficient reduced model. To demonstrate effectiveness of the models developed, we analyze geometry sensitivities and explore optimal designs of a 3D periodic coaxial nanogap structure. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computational Physics is the property of Academic Press Inc. 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. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 129565966 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computing parametrized solutions for plasmonic nanogap structures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vidal-Codina%2C+F%2E%22">Vidal-Codina, F.</searchLink><relatesTo>1</relatesTo><i> fvidal@mit.edu</i><br /><searchLink fieldCode="AR" term="%22Nguyen%2C+N%2EC%2E%22">Nguyen, N.C.</searchLink><relatesTo>1</relatesTo><i> cuongng@mit.edu</i><br /><searchLink fieldCode="AR" term="%22Peraire%2C+J%2E%22">Peraire, J.</searchLink><relatesTo>1</relatesTo><i> peraire@mit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Physics%22">Journal of Computational Physics</searchLink>. Aug2018, Vol. 366, p89-106. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Plasmonics%22">Plasmonics</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Wavelengths%22">Wavelengths</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Electromagnetic+fields%22">Electromagnetic fields</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The interaction of electromagnetic waves with metallic nanostructures generates resonant oscillations of the conduction-band electrons at the metal surface. These resonances can lead to large enhancements of the incident field and to the confinement of light to small regions, typically several orders of magnitude smaller than the incident wavelength. The accurate prediction of these resonances entails several challenges. Small geometric variations in the plasmonic structure may lead to large variations in the electromagnetic field responses. Furthermore, the material parameters that characterize the optical behavior of metals at the nanoscale need to be determined experimentally and are consequently subject to measurement errors. It then becomes essential that any predictive tool for the simulation and design of plasmonic structures accounts for fabrication tolerances and measurement uncertainties. In this paper, we develop a reduced order modeling framework that is capable of real-time accurate electromagnetic responses of plasmonic nanogap structures for a wide range of geometry and material parameters. The main ingredients of the proposed method are: (i) the hybridizable discontinuous Galerkin method to numerically solve the equations governing electromagnetic wave propagation in dielectric and metallic media, (ii) a reference domain formulation of the time-harmonic Maxwell's equations to account for arbitrary geometry variations; and (iii) proper orthogonal decomposition and empirical interpolation techniques to construct an efficient reduced model. To demonstrate effectiveness of the models developed, we analyze geometry sensitivities and explore optimal designs of a 3D periodic coaxial nanogap structure. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computational Physics is the property of Academic Press Inc. 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: 10.1016/j.jcp.2018.04.009 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 89 Subjects: – SubjectFull: Plasmonics Type: general – SubjectFull: Parameter estimation Type: general – SubjectFull: Wavelengths Type: general – SubjectFull: Measurement errors Type: general – SubjectFull: Electromagnetic fields Type: general Titles: – TitleFull: Computing parametrized solutions for plasmonic nanogap structures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vidal-Codina, F. – PersonEntity: Name: NameFull: Nguyen, N.C. – PersonEntity: Name: NameFull: Peraire, J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00219991 Numbering: – Type: volume Value: 366 Titles: – TitleFull: Journal of Computational Physics Type: main |
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