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Bayesian optimization design method of metal-dielectric multilayer columnar optical nano antenna

A nano-antenna and optimization design technology, applied in the field of antennas, can solve the problems of long antenna design cycle time, easy to fall into local optimal solution, long calculation cycle, etc., to optimize antenna scattering efficiency, fast antenna scattering efficiency, improve design The effect of efficiency

Active Publication Date: 2019-08-23
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

Although these algorithms have the advantages of simple operation and fewer parameters, when dealing with non-convex, multi-peaked and difficult-to-derivate objective functions, these algorithms converge slowly and easily fall into the local optimal solution, resulting in the entire antenna design cycle. It takes a long time and cannot guarantee the high-efficiency output of the antenna
For antenna design with high-dimensional structural parameters, the calculation cycle is longer

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  • Bayesian optimization design method of metal-dielectric multilayer columnar optical nano antenna
  • Bayesian optimization design method of metal-dielectric multilayer columnar optical nano antenna
  • Bayesian optimization design method of metal-dielectric multilayer columnar optical nano antenna

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with the description of the drawings and specific embodiments.

[0024] A Bayesian optimization design method for a metal-dielectric multilayer cylindrical optical nanoantenna, the optimization steps are as follows:

[0025] 1. According to the needs of antenna design, construct a candidate set of structural parameters.

[0026] 2. Determine the optimization objective function as the far-field directivity coefficient in is the scattered Poynting vector parallel to the propagation direction of the incident light at plus or minus infinity, and the constraint function is set at the same time.

[0027] 3. Set the initial training set and call the Comsol simulation software to obtain the corresponding optimization objective function value and constraint function value, and use the set of (x, y, z) as the training set, where x is the initial training parameter set, y is Optimizing the objective function...

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Abstract

The invention provides a bayesian optimization design method of a metal-dielectric multilayer columnar optical nano antenna, which comprises the following steps: S1, constructing a structure parametercandidate set according to antenna design requirements; s2, determining an optimization objective function as a far-field directivity coefficient, and setting a constraint function at the same time;s3, setting an initial training parameter set and obtaining a corresponding optimization objective function value and a corresponding constraint function value, taking the three sets as a training set, and setting an initial value of iteration times k; s4, training hyper-parameters in the Gaussian model according to the training set; s5, selecting a next candidate parameter; s6, calculating an objective function value and a constraint function value corresponding to the candidate parameter; and S7, judging whether the objective function values corresponding to the candidate parameters meetingthe constraint conditions meet cut-off conditions or not. The method has the advantages that the method is optimized through Bayesian optimization, the calculation time can be effectively shortened, the design efficiency is improved, and the purpose of quickly optimizing the antenna scattering efficiency is achieved.

Description

technical field [0001] The invention relates to antennas, in particular to a Bayesian optimal design method for metal-dielectric multilayer columnar optical nanometer antennas. Background technique [0002] With the gradual development of modern science and technology, wireless communication systems are developing rapidly towards high-speed, large-capacity transmission and other directions. The carrier wireless in the wireless communication system needs to meet the characteristics of low cost, high efficiency, portability, and miniaturization. [0003] The conventional antenna design method is to design the antenna structure, then adjust the structure parameters, and test the output efficiency. Since the relationship between the output efficiency of the antenna and the structural parameters is unknown and rarely satisfies a linear relationship, the adjustment of the structural parameters is random and tedious in this design process. Especially when encountering high-dimens...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 肖君军秦菲菲
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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