POST: photonic swin transformer for automated and efficient prediction of PCSEL

IF 6.6 2区 物理与天体物理 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Qi Xin, Hai Huang, Chenyu Li, Kewei Shi, Zhaoyu Zhang
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引用次数: 0

Abstract

This work designs a model named POST based on the vision transformer (ViT) approach. Across single, double, and even triple lattices, as well as various non-circular complex hole structures, POST enables prediction of multiple optical properties of photonic crystal layers in photonic crystal surface emitting lasers (PCSELs) with high speed and accuracy, without requiring manual intervention, which serves as a comprehensive surrogate for the optical field simulation. In the predictions of quality factor (Q) and surface-emitting efficiency (SE) for PCSEL, the R-squared values reach 0.909 and 0.779, respectively. Additionally, it achieves nearly 5,000 predictions per second, significantly lowering simulation costs. The precision and speed of POST predictions lay a solid foundation for future ultra-complex model parameter tuning involving dozens of parameters. It can also swiftly meet designers’ ad-hoc requirements for evaluating photonic crystal properties. The database used for training the POST model is derived from predictions of different photonic crystal structures using the coupled-wave theory (CWT) model. This dataset will be made publicly available to foster interdisciplinary research advancements in materials science and computer science.
POST:用于自动、高效预测PCSEL的光子旋流变压器
本文设计了一个基于视觉转换(ViT)方法的POST模型。POST能够在不需要人工干预的情况下,跨越单晶格、双晶格甚至三晶格以及各种非圆形复杂空穴结构,快速准确地预测光子晶体表面发射激光器(PCSELs)中光子晶体层的多种光学性质,为光场模拟提供了全面的替代方法。在预测PCSEL的品质因子(Q)和表面发光效率(SE)时,r平方值分别达到0.909和0.779。此外,它每秒可以实现近5000次预测,大大降低了模拟成本。POST预测的精度和速度为未来涉及数十个参数的超复杂模型参数整定奠定了坚实的基础。它还可以迅速满足设计人员对评估光子晶体特性的特殊要求。用于训练POST模型的数据库是利用耦合波理论(CWT)模型对不同光子晶体结构的预测得来的。该数据集将向公众开放,以促进材料科学和计算机科学的跨学科研究进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanophotonics
Nanophotonics NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
13.50
自引率
6.70%
发文量
358
审稿时长
7 weeks
期刊介绍: Nanophotonics, published in collaboration with Sciencewise, is a prestigious journal that showcases recent international research results, notable advancements in the field, and innovative applications. It is regarded as one of the leading publications in the realm of nanophotonics and encompasses a range of article types including research articles, selectively invited reviews, letters, and perspectives. The journal specifically delves into the study of photon interaction with nano-structures, such as carbon nano-tubes, nano metal particles, nano crystals, semiconductor nano dots, photonic crystals, tissue, and DNA. It offers comprehensive coverage of the most up-to-date discoveries, making it an essential resource for physicists, engineers, and material scientists.
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