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Updated: Jan 8, 2026

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

大規模ナノ構造のためのルンゲ・クッタベース反復マクスウェルソルバー

Ziyao Zhang, Site Zhang, Haofeng Guo

|December 19, 2025

Abstract:

An iterative numerical solution to the Maxwell equations, with Runge-Kutta-based beam propagation method (RK-BPM) in the k-domain developed by H. Zhong et al. [Opt. Express28, 11074 (2020)10.1364/OE.388376] as the iteration kernel, is presented in this work to deal with the simulation of micro-/nanostructures, particularly for those in large sizes. This method extends the previous work on the RK-BPM by incorporating with the iterative boundary condition scheme from A. Junker and K. H. Brenner [J. Opt. Soc. Am. A35, 377 (2018)10.1364/JOSAA.35.000377], so to make it capable of modeling complex structures with multiple internal reflections with both high accuracy and efficiency.

キーワード:

数値解析マクスウェル方程式ナノフォトニクス光シミュレーションルンゲ・クッタ法

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