Numerical Optimization of Plasmonic Biosensors

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Nanostructured Biosensors: Influence of Adhesion Layer, Roughness and Size on the LSPR: A Parametric Study

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Selective and Collaborative Optimization Methods for Plasmonics: A Comparison

International audienceIn this paper, we optimize the size parameters of hollow nanospheres and nanoshells used in cancer photothermal therapy and we focus on two practical therapy cases: the visible range for shallow cancer and the near infrared for deep cancer. For this, we consider analytical models: the Mie theory for coated spheres. The investigated optimization methods are the Evolutionary Method (EM) and the Particle Swarm Optimization (PSO) which are based on competitiveness and collaborative algorithms, respectively. A comparative study is achieved by checking the efficiency of the optimization methods, to improve the nanoparticles efficiency

Electromagnetic Heat-induced in Meso-structures: Computation of Temperature in Metallic Dimers

International audienceThe illumination of a dimer metallic nanostructure is known to produce an in- tense source of light, with nanometric size. This con¯nement of light in the gap between the two material structures can induce an increase of the absorption of the electromagnetic energy in the nanaoantenna itself, and therefore its warm-up. The multiphysics problem associated to this photo-thermal e®ect is modeled through a Finite Element Method (FEM). This contribu- tion consists in computing both the electromagnetic ¯eld and the temperature, and discussing the in°uence of the gap, in the case of a bow-tie nanoantenna. The applications could be the development of nanodevices with thermal properties

Nanoshells for photothermal therapy: a Monte-Carlo based numerical study of their design tolerance

The optimization of the coated metallic nanoparticles and nanoshells is a current challenge for biological applications, especially for cancer photothermal therapy, considering both the continuous improvement of their fabrication and the increasing requirement of efficiency. The efficiency of the coupling between illumination with such nanostructures for burning purposes depends unevenly on their geometrical parameters (radius, thickness of the shell) and material parameters (permittivities which depend on the illumination wavelength). Through a Monte-Carlo method, we propose a numerical study of such nanodevice, to evaluate tolerances (or uncertainty) on these parameters, given a threshold of efficiency, to facilitate the design of nanoparticles. The results could help to focus on the relevant parameters of the engineering process for which the absorbed energy is the most dependant. The Monte-Carlo method confirms that the best burning efficiency are obtained for hollow nanospheres and exhibit the sensitivity of the absorbed electromagnetic energy as a function of each parameter. The proposed method is general and could be applied in design and development of new embedded coated nanomaterials used in biomedicine applications

Energy transition x energy inclusion: A community energy concept for developing countries

The concept of community energy has gained acceptance and popularity within academic and scientific communities, in addition to public debate forums. Community energy drives socio-economic transformations, as it places the citizen and the community as the main actors in the entire energy value chain, based on the principle of local and autonomous generation of energy by and for the community. In this article, we analyze the socio-economic impact of community energy as a strategy for energy inclusion and participation in the industrial, socio-economic and human development of communities in developing countries, especially those in sub-Saharan Africa. The community energy model discussed is based on the symbiotic interaction between social strata within local communities, the so-called community energy symbiosis. In addition, it was concluded that the concept of community energy is generally advantageous, but should be implemented by adapting it to each context, as regulation and government support vary significantly, especially in developing nations

Electromagnetic Heat-induced in Meso-structures: Computation of Temperature in Metallic Dimers

International audienceThe illumination of a dimer metallic nanostructure is known to produce an in- tense source of light, with nanometric size. This con¯nement of light in the gap between the two material structures can induce an increase of the absorption of the electromagnetic energy in the nanaoantenna itself, and therefore its warm-up. The multiphysics problem associated to this photo-thermal e®ect is modeled through a Finite Element Method (FEM). This contribu- tion consists in computing both the electromagnetic ¯eld and the temperature, and discussing the in°uence of the gap, in the case of a bow-tie nanoantenna. The applications could be the development of nanodevices with thermal properties

Propagation d'incertitudes~: comment utiliser un modèle pour évaluer une incertitude sur une mesure indirecte~?

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