Computational Analysis of Nanoantenna Arrays for Nanoparticle Detection

Isiklar, Goktug
Ergül, Özgür Salih
We present computational analysis of nanoantenna arrays when they are used to detect and identify nearby nanoparticles. Solutions of frequency-domain scattering problems are performed by using a surface-integral-equation formulation that is suitable for composite structures involving metallic, dielectric, magnetic, and/or plasmonic objects. Acceleration is further achieved via the multilevel fast multipole algorithm that is developed for composite structures. Numerical results demonstrate the feasibility of particle detection and identification, even with sparse arrays with relatively large periodicities.


Computational analysis and full-wave optimizations of nanoantenna arrays for desired scattering and radiation characteristics
Altmoklu, Askin; Ergül, Özgür Salih (2017-08-26)
We present computationally intensive analysis and optimizations of nanoantenna arrays made of dielectric or metallic elements. Scattering and radiation characteristics of the arrays are obtained by using surface integral equations that can be used for penetrable objects, including plasmonic structures. Optimizations are performed via genetic algorithms, while the required thousands of trials are performed efficiently by using the multilevel fast multipole algorithm. Numerical results involving arrays of nan...
Computational Electromagnetic Analysis of Deformed Nanowires Using the Multilevel Fast Multipole Algorithm
Yilmaz, Akif; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2015-02-16)
We consider computational analysis of deformed nanowires and their arrays using a full-wave simulation environment based on integral-equation formulations and the multilevel fast multipole algorithm (MLFMA). Without requiring any periodicity assumptions, MLFMA allows for fast and accurate simulations of complex nanowire structures with three-dimensional geometries and random deformations. We present the results of hundreds of simulations, where deformed nanowires are considered as isolated, as well as in ar...
Efficient and Accurate Electromagnetic Optimizations Based on Approximate Forms of the Multilevel Fast Multipole Algorithm
Onol, Can; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2016-01-01)
We present electromagnetic optimizations by heuristic algorithms supported by approximate forms of the multilevel fast multipole algorithm (MLFMA). Optimizations of complex structures, such as antennas, are performed by considering each trial as an electromagnetic problem that can be analyzed via MLFMA and its approximate forms. A dynamic accuracy control is utilized in order to increase the efficiency of optimizations. Specifically, in the proposed scheme, the accuracy is used as a parameter of the optimiz...
Computational simulation and realization of three-dimensional metamaterials with various exotic properties
İbili, Hande; Ergül, Özgür Salih; Department of Electrical and Electronics Engineering (2019)
In this study, computational analysis and realization of three-dimensional metamaterial structures that induce negative and zero permittivity and/or permeability values in their host environment, as well as plasmonic nanoparticles that are used to design metamaterials at optical frequencies are presented. All these electromagnetic problems are challenging since effective material properties become negative/zero, while numerical solvers are commonly developed for ordinary positive parameters. In real life, t...
Hierarchical Parallelization of the Multilevel Fast Multipole Algorithm (MLFMA)
Gurel, Levent; Ergül, Özgür Salih (2013-02-01)
Due to its O(NlogN) complexity, the multilevel fast multipole algorithm (MLFMA) is one of the most prized algorithms of computational electromagnetics and certain other disciplines. Various implementations of this algorithm have been used for rigorous solutions of large-scale scattering, radiation, and miscellaneous other electromagnetics problems involving 3-D objects with arbitrary geometries. Parallelization of MLFMA is crucial for solving real-life problems discretized with hundreds of millions of unkno...
Citation Formats
G. Isiklar and Ö. S. Ergül, “Computational Analysis of Nanoantenna Arrays for Nanoparticle Detection,” 2019, Accessed: 00, 2020. [Online]. Available: