High‐Throughput Ideal Magnetic Multipoles Screening

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Kameyab Raza Abidi, Gour Mohan Das
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引用次数: 0

Abstract

The concept of ideal magnetic multipole scattering (IMMS) describes light scattering by nonmagnetic nanoparticles governed purely by magnetic multipole modes, with electric contributions strongly suppressed. Achieving IMMS in core–shell nanostructures is challenging, requiring precise control of materials and geometry. Here, a high‐throughput computational screening of 72 core–shell combinations is presented, computing over 6700 Mie spectra per configuration. Through multipolar decomposition, 26 ideal magnetic dipole (IMDS) and 527 ideal magnetic quadrupole (IMQS) scattering cases spanning the UV to short‐wave IR are identified. Statistical trends show that IMQS is more accessible, with Ag‐based cores and high‐index dielectric shells (e.g., GaP, Ge) maximizing modal purity. These results establish general design rules for isolating pure magnetic resonances and demonstrate that experimentally relevant material systems can realize IMMS using established nanofabrication techniques. Beyond providing a comprehensive dataset, this framework offers a roadmap toward machine‐learning–assisted design of magnetic scatterers, enabling directional scattering, anapole states, and meta‐atom architectures for advanced photonic devices, metamaterials, and quantum technologies.
高通量理想磁多极筛选
理想磁多极散射(IMMS)的概念描述了由磁多极模式控制的非磁性纳米粒子的光散射,其电贡献被强烈抑制。在核壳纳米结构中实现IMMS具有挑战性,需要精确控制材料和几何形状。在这里,提出了72个核壳组合的高通量计算筛选,每个配置计算超过6700个Mie谱。通过多极分解,确定了26个理想磁偶极子(IMDS)和527个理想磁四极子(IMQS)在紫外到短波红外波段的散射情况。统计趋势表明,IMQS更容易获得,Ag基芯和高折射率介电壳(如GaP, Ge)最大化了模态纯度。这些结果建立了隔离纯磁共振的一般设计规则,并表明实验相关的材料体系可以利用现有的纳米制造技术实现IMMS。除了提供全面的数据集之外,该框架还为磁散射体的机器学习辅助设计提供了路线图,为先进的光子器件、超材料和量子技术实现了定向散射、准极点状态和元原子结构。
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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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