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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Gric, Tatjana
Vilnius Gediminas Technical University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023An asymptotic homogenization formula for complex permittivity and its application
- 2023Growth of Magnetron-Sputtered Ultrathin Chromium Films: In Situ Monitoring and Ex Situ Film Propertiescitations
- 2022On the study of the THz metamaterials to deal with the dielectric response of the cancerous biological tissuescitations
- 2021Looking Into Surface Plasmon Polaritons Guided by the Acoustic Metamaterialscitations
- 2021Controlling Surface Plasmon Polaritons Propagating at the Boundary of Low-Dimensional Acoustic Metamaterialscitations
- 2021The Study of the Surface Plasmon Polaritons at the Interface Separating Nanocomposite and Hypercrystalcitations
- 2020Metamaterial formalism approach for advancing the recognition of glioma areas in brain tissue biopsiescitations
- 2018Investigation of Hyperbolic Metamaterialscitations
- 2015Analytic solution to field distribution in two-dimensional inhomogeneous waveguidescitations
Places of action
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document
On the study of the THz metamaterials to deal with the dielectric response of the cancerous biological tissues
Abstract
<p>Herein, we are making a step forward dealing with the novel theoretic and computational determination of the effective permittivity of the composite biological media. The presented methodology stands for as a perfect tool allowing to evaluate the permittivity tensor of the sample analytically with no needs of human intervention by performing an experimental analysis to measure the parameters of the sample. The distribution of the cancerous cells is taken into account. Doing so, we end up with the determination of the tensor components for random multi-phase composites. The former provides a fertile ground aiming to detect and treat cancer. It has been concluded that the increase of the concentration of the cancerous cells and their distribution in the sample makes a dramatic impact on the obtained numerical results.</p>