Performance Enhancement of Graphene-based Linear to Circular Polarization Converter for Terahertz Frequency Using a Novel Parameter Prediction Methodology.
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| Title: | Performance Enhancement of Graphene-based Linear to Circular Polarization Converter for Terahertz Frequency Using a Novel Parameter Prediction Methodology. |
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| Authors: | Mistri, Hiranmay1 (AUTHOR) hiranmaymistri@rkmgec.ac.in, Ghosh, Anumoy2 (AUTHOR), Sardar, Abdur Rahaman1 (AUTHOR), Choudhury, Bikash1 (AUTHOR) |
| Source: | Plasmonics. Jun2025, Vol. 20 Issue 6, p3289-3303. 15p. |
| Subjects: | Unit cell, Chemical relaxation, Linear polarization, Circular polarization, Chemical potential |
| Abstract: | This paper presents a graphene-based linear-to-circular polarization converter (LTCPC) for the terahertz frequency regime. Besides these, it suggests a technique for effective and accurate metasurface designing using a novel approach, which we call the machine learning parameter prediction method (MLPPM). It provides an efficacious solution for the limitations of the existing parametric variation method and over-reliance on human precision and perception in metasurface designing. The periodic unit cell is designed using a gold-backed silicon dioxide (SiO2) containing an elliptical-shaped graphene ring with splits. The proposed design converts linearly polarized incident waves into circularly polarized reflected waves from 2.44 to 3.70 THz with a wide bandwidth of 1.26 THz and about 41% of fractional bandwidth. The unit cell dimensions are optimized using the proposed MLPPM, and the operational bandwidth from 2.30 to 4.0 THz, i.e., 54% fractional bandwidth (FBW), is reported. That is, using this method, 31.7% of the overall performance of the unit cell is improved. The empirical model for the technique is also proposed. The tunability of the graphene monolayer is achieved by varying the chemical potential and relaxation time. The incident angle invariability of the proposed unit cell is tested, and up to 50-degree incident angle invariability is reported. [ABSTRACT FROM AUTHOR] |
| Copyright of Plasmonics is the property of Springer Nature 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185858532 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance Enhancement of Graphene-based Linear to Circular Polarization Converter for Terahertz Frequency Using a Novel Parameter Prediction Methodology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mistri%2C+Hiranmay%22">Mistri, Hiranmay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hiranmaymistri@rkmgec.ac.in</i><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Anumoy%22">Ghosh, Anumoy</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sardar%2C+Abdur+Rahaman%22">Sardar, Abdur Rahaman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choudhury%2C+Bikash%22">Choudhury, Bikash</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Plasmonics%22">Plasmonics</searchLink>. Jun2025, Vol. 20 Issue 6, p3289-3303. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Unit+cell%22">Unit cell</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+relaxation%22">Chemical relaxation</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+polarization%22">Linear polarization</searchLink><br /><searchLink fieldCode="DE" term="%22Circular+polarization%22">Circular polarization</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+potential%22">Chemical potential</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a graphene-based linear-to-circular polarization converter (LTCPC) for the terahertz frequency regime. Besides these, it suggests a technique for effective and accurate metasurface designing using a novel approach, which we call the machine learning parameter prediction method (MLPPM). It provides an efficacious solution for the limitations of the existing parametric variation method and over-reliance on human precision and perception in metasurface designing. The periodic unit cell is designed using a gold-backed silicon dioxide (SiO2) containing an elliptical-shaped graphene ring with splits. The proposed design converts linearly polarized incident waves into circularly polarized reflected waves from 2.44 to 3.70 THz with a wide bandwidth of 1.26 THz and about 41% of fractional bandwidth. The unit cell dimensions are optimized using the proposed MLPPM, and the operational bandwidth from 2.30 to 4.0 THz, i.e., 54% fractional bandwidth (FBW), is reported. That is, using this method, 31.7% of the overall performance of the unit cell is improved. The empirical model for the technique is also proposed. The tunability of the graphene monolayer is achieved by varying the chemical potential and relaxation time. The incident angle invariability of the proposed unit cell is tested, and up to 50-degree incident angle invariability is reported. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Plasmonics is the property of Springer Nature 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185858532 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11468-024-02536-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 3289 Subjects: – SubjectFull: Unit cell Type: general – SubjectFull: Chemical relaxation Type: general – SubjectFull: Linear polarization Type: general – SubjectFull: Circular polarization Type: general – SubjectFull: Chemical potential Type: general Titles: – TitleFull: Performance Enhancement of Graphene-based Linear to Circular Polarization Converter for Terahertz Frequency Using a Novel Parameter Prediction Methodology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mistri, Hiranmay – PersonEntity: Name: NameFull: Ghosh, Anumoy – PersonEntity: Name: NameFull: Sardar, Abdur Rahaman – PersonEntity: Name: NameFull: Choudhury, Bikash IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15571955 Numbering: – Type: volume Value: 20 – Type: issue Value: 6 Titles: – TitleFull: Plasmonics Type: main |
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