Abstract:HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labor… Show more
“…However, our results show that discrete structures can be particularly efficient. We underline that in multilayered structures it has been proven that the best structures present a maximum index contrast, something which is found in parametric optimization and in particularly high quality solutions [35,7,36].…”
“…However, our results show that discrete structures can be particularly efficient. We underline that in multilayered structures it has been proven that the best structures present a maximum index contrast, something which is found in parametric optimization and in particularly high quality solutions [35,7,36].…”
“…In this paper, the DE algorithm is used to obtain the optimal random thickness for the structure. This algorithm evolves and generates a new population on the basis of the current population iteratively [36][37][38][39]. The upper and lower boundaries for the thickness of the layers have been forced to produce the near-optimal solution.…”
For the past few decades, investigations of cancer cells were made using periodic/defective-periodic photonic structures. Utilizing the unique properties of a disordered photonic crystal for detecting the bio-analytes is still missing. This work incorporates the opto-biological properties of one-dimensional random photonic systems to design the two differently randomized biosensors for sensing breast cancer cells. These random sensors are differentiated from one another based on their random arrangements and random thicknesses. To obtain efficient outcomes, the thickness of the dielectric layers and sensing layer is optimized. Through the transfer matrix method, the sensing characteristics of the biosensors are investigated for different pressures (0-6 GPa) and temperatures (-125°C to 25°C). At the optimal range, the proposed Biosensors I and II, show a high sensitivity of 1372.549 nm/RIU. Among both sensors, Random Biosensor I exhibits a high-quality factor of 12925, a maximum FOM of 4575.163 RIU-1, and a very low detection limit in the order of 5.82857E-06 RIU. The designed sensor is capable of sensing very minuscule changes in the bio-analytes effectually. The proposed biosensor shows high sensitivity than the previous literature even in the normal incident of light.
“…Gradient-free methods such as swarm or evolutionary optimization rely on extensive sampling of the solution space, which means doing many numerical simulations [28,57,34,38]. These methods can perform very well when gradients are not unavailable (e.g., for discrete optimization problems), but generally need to sample the objective function more often than gradientbased methods simply due to having less information about the objective function.…”
Section: Comparison Between 2d and 3dmentioning
confidence: 99%
“…Only with such strategies, it is possible to identify feasible designs that serve a well-defined purpose while fully respecting the constraints imposed by the limited index contrast. While a large variety of different methodologies exist to solve the inverse problem [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42], we exploit topology optimization here.…”
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