Topology Optimization Enabled High Performance and Easy-to-Fabricate Hybrid Photonic Crystals

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Tianyu Zhang, Weibai Li, Baohua Jia, Xiaodong Huang
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引用次数: 0

Abstract

Photonic crystals (PtCs) can confine and guide electromagnetic waves within specific frequency ranges, forming the foundation for promising optical applications. To numerically design PtCs with broad bandgaps, materials with high dielectric constants are favored. However, fabricating these high dielectric constant materials into microstructures is extremely challenging and it suffers from limitation of low fabricating resolution. To address this problem, this paper proposes hybrid microstructures composed of an easy-to-fabricate core and a high dielectric constant coating layer, which leverages the strength of both materials. This paper establishes a topology optimization algorithm to generate these PtCs with maximized bandgaps. Numerical examples demonstrate the effectiveness of the proposed method in generating optimized unit cells for both transverse magnetic (TM) and transverse electric (TE) modes. The hybrid PtCs offer unprecedented opportunities for the fabrication of optical devices, encouraging further research on multimaterial optical systems and advanced optimization methods to explore photonic bandgap materials beyond those offered by the current photonic technology.

Abstract Image

拓扑优化带来高性能、易制造的混合光子晶体
光子晶体(PtCs)可以在特定频率范围内限制和引导电磁波,为前景广阔的光学应用奠定了基础。为了在数值上设计具有宽带隙的 PtC,人们倾向于使用高介电常数的材料。然而,将这些高介电常数材料制作成微结构极具挑战性,而且还受到制作分辨率低的限制。为解决这一问题,本文提出了由易于制造的内核和高介电常数涂层组成的混合微结构,充分利用了两种材料的优势。本文建立了一种拓扑优化算法,以生成这些具有最大带隙的铂碳。数值示例证明了所提方法在生成横向磁(TM)和横向电(TE)模式的优化单元单元方面的有效性。混合 PtC 为光学器件的制造提供了前所未有的机会,鼓励了对多材料光学系统和先进优化方法的进一步研究,以探索超越当前光子技术所提供的光子带隙材料。
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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