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Fractional Derivative Modification of Drude Model
A novel, two-parameter modification of a Drude model, based on fractional time derivatives, is presented. The dielectric susceptibility is calculated analytically and simulated numerically, showing good agreement between theoretical description and numerical results. The absorption coefficient and w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346957/ https://www.ncbi.nlm.nih.gov/pubmed/34372211 http://dx.doi.org/10.3390/s21154974 |
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author | Karpiński, Karol Zielińska-Raczyńska, Sylwia Ziemkiewicz, David |
author_facet | Karpiński, Karol Zielińska-Raczyńska, Sylwia Ziemkiewicz, David |
author_sort | Karpiński, Karol |
collection | PubMed |
description | A novel, two-parameter modification of a Drude model, based on fractional time derivatives, is presented. The dielectric susceptibility is calculated analytically and simulated numerically, showing good agreement between theoretical description and numerical results. The absorption coefficient and wave vector are shown to follow a power law in the frequency domain, which is a common phenomenon in electromagnetic and acoustic wave propagation in complex media such as biological tissues. The main novelty of the proposal is the introduction of two separate parameters that provide a more flexible model than most other approaches found in the literature. Moreover, an efficient numerical implementation of the model is presented and its accuracy and stability are examined. Finally, the model is applied to an exemplary soft tissue, confirming its flexibility and usefulness in the context of medical biosensors. |
format | Online Article Text |
id | pubmed-8346957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83469572021-08-08 Fractional Derivative Modification of Drude Model Karpiński, Karol Zielińska-Raczyńska, Sylwia Ziemkiewicz, David Sensors (Basel) Communication A novel, two-parameter modification of a Drude model, based on fractional time derivatives, is presented. The dielectric susceptibility is calculated analytically and simulated numerically, showing good agreement between theoretical description and numerical results. The absorption coefficient and wave vector are shown to follow a power law in the frequency domain, which is a common phenomenon in electromagnetic and acoustic wave propagation in complex media such as biological tissues. The main novelty of the proposal is the introduction of two separate parameters that provide a more flexible model than most other approaches found in the literature. Moreover, an efficient numerical implementation of the model is presented and its accuracy and stability are examined. Finally, the model is applied to an exemplary soft tissue, confirming its flexibility and usefulness in the context of medical biosensors. MDPI 2021-07-22 /pmc/articles/PMC8346957/ /pubmed/34372211 http://dx.doi.org/10.3390/s21154974 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Karpiński, Karol Zielińska-Raczyńska, Sylwia Ziemkiewicz, David Fractional Derivative Modification of Drude Model |
title | Fractional Derivative Modification of Drude Model |
title_full | Fractional Derivative Modification of Drude Model |
title_fullStr | Fractional Derivative Modification of Drude Model |
title_full_unstemmed | Fractional Derivative Modification of Drude Model |
title_short | Fractional Derivative Modification of Drude Model |
title_sort | fractional derivative modification of drude model |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346957/ https://www.ncbi.nlm.nih.gov/pubmed/34372211 http://dx.doi.org/10.3390/s21154974 |
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