摘要
光谱选择性吸收/发射的微纳光子结构广泛应用在诸多领域。本文提出了结合两种相变材料的简单多层光子结构的设计。首先采用FEM对该结构的光谱反射进行计算,建立数据集并训练了快速计算的ANN模型。最后展示了结合相变材料VO_(2)和GST的光子结构的多级动态光谱选择性调控。结果显示光子结构参数为d_(1)=0.1μm、d_(2)=0.3μm时,ANN模型计算时间为1.5 s,节省了计算耗时;此光子结构的四种模态表现不同的光谱选择性吸收。为光谱选择性调控提供了多级动态调控的新设计思路。
Photonic structure with selective absorption performance and emission control ability are widely applied in many fields.In this work,a design of multilayer photonic structure including two phase-changing materials is presented.Firstly,the spectral reflectivity of the structure is calculated by FEM method,and a dataset is established to train a ANN model.Finally,the multi-level dynamic spectral selectivity of the photonic structure combined with phase-changing material VO_(2)and GST is demonstrated.The results show that when the structural parameters are d_(1)=0.1μm and d_(2)=0.3μm,the calculation time of the ANN model is 1.5 s,which saves the calculation time.The four modes of this photonic structure exhibit different spectral selective absorption.This work provides an idea of multi-level dynamic control for spectral selectivity.
作者
宋奎龙
谢鸣
艾青
SONG Kuilong;XIE Ming;AI Qing(School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,China)
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2024年第9期2732-2735,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金国家重大科研仪器研制项目(No.52227813)
国家重点研发计划引力波探测重点专项(No.2022YFC2204300)。
关键词
光子结构
光谱选择性调控
多级动态调控
人工神经网络
photonic structure
spectral selective tuning
multi-level dynamic tuning
artificial neural network