Nanoaperture design in visible frequency range using genetic algorithm and ON/OFF method based topology optimization scheme

Hyun Do Shin, Jeonghoon Yoo

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A genetic algorithm (GA) is an optimization technique based on natural evolution theory to find the global optimal solution. Unlike the gradient-based method, it can design nanoscale structures in the electric field because it does not require sensitivity calculation. This research intends to design a nanoaperture with an unprecedented shape by the topology optimization scheme based on the GA and ON/OFF method in the visible frequency range. This research mainly aims to maximize the transmission rate at a measuring area located 10nm under the exit plane and to minimize the electric distribution at other locations. The finite element analysis (FEA) and optimization process are performed by using the commercial package COMSOL combined with the Matlab programming. The final results of the optimized model are analyzed by a comparison of the electric field intensity and the spot size of near field with those of the initial model.

Original languageEnglish
Pages (from-to)1513-1519
Number of pages7
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume37
Issue number12
DOIs
Publication statusPublished - 2013 Dec

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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