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Metamaterial design method and equipment based on Bayesian joint modeling optimization algorithm

An optimization algorithm and design method technology, applied in the field of metamaterials, can solve the problems of manpower and time consumption, lack of design methods, low efficiency, etc., and achieve the effect of reducing times, saving simulation time, and saving computing resources

Active Publication Date: 2022-03-25
TSINGHUA UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the design method of metamaterials is mainly based on manual design, that is, the geometric parameters of the material are designed through the designer's experience and intuition, and it is necessary to manually adjust the geometric parameters for experiments, which requires a lot of manpower and time, and the efficiency is extremely low.
The lack of an efficient multi-objective design method for metamaterials severely restricts the design of metamaterials with more diverse structures and wider applicability

Method used

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  • Metamaterial design method and equipment based on Bayesian joint modeling optimization algorithm
  • Metamaterial design method and equipment based on Bayesian joint modeling optimization algorithm
  • Metamaterial design method and equipment based on Bayesian joint modeling optimization algorithm

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Embodiment 1

[0066] figure 2 This is a flow chart of the metamaterial design method (ie, the metamaterial design method based on the Bayesian joint modeling optimization algorithm) provided by the first embodiment of the present invention. The metamaterial design method is applied to computer equipment. The metamaterial design method determines the geometric parameters corresponding to the plurality of structural primitives through a Bayesian joint modeling optimization algorithm according to the target electromagnetic responses of the plurality of structural primitives constituting the metamaterial.

[0067] like figure 2 As shown, the metamaterial design method based on the Bayesian joint modeling optimization algorithm includes:

[0068] 201, obtain the working frequency band of the metamaterial The target electromagnetic response set of K structural elements Z = {z 1 ,…,z K } and the set of error thresholds ε={ε 1 ,…,ε K },in f l ≤f u .

[0069] The target electromagneti...

Embodiment 2

[0143] image 3 It is a structural diagram of the metamaterial design device (that is, the metamaterial design device based on the Bayesian joint modeling optimization algorithm) provided by the second embodiment of the present invention. The metamaterial design device 30 is applied to computer equipment. The metamaterial design device 30 determines the geometric parameters corresponding to the plurality of structural primitives through a Bayesian joint modeling optimization algorithm according to the target electromagnetic responses of the plurality of structural primitives constituting the metamaterial.

[0144] like image 3 As shown, the metamaterial design device 30 may include an acquisition module 301, a selection module 302, a first calculation module 303, a modeling module 304, a second calculation module 305, a third calculation module 306, a first judgment module 307, a module 308 , a second judgment module 309 , and an output module 310 .

[0145] The acquisitio...

Embodiment 3

[0219] This embodiment provides a storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, implements the steps in the above embodiments of the metamaterial design method based on the Bayesian joint modeling optimization algorithm, for example figure 2 201-210 shown. Or, when the computer program is executed by the processor, the functions of each module in the above-mentioned apparatus embodiment are realized, for example, image 3 in modules 301-310.

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Abstract

The invention provides a metamaterial design method and equipment based on a Bayesian joint modeling optimization algorithm. The method transforms the metamaterial design problem into an optimization problem of a black box function, transforms the complex functional response of the metamaterial into two simple response functions, uses a Gaussian process model to model the two simple response functions, and uses a Bayesian joint construction. The modular optimization algorithm solves the target design. The present invention can realize the rapid design of metamaterials.

Description

technical field [0001] The invention relates to the technical field of metamaterials, in particular to a metamaterial design method and equipment based on a Bayesian joint modeling optimization algorithm. Background technique [0002] In recent years, with the development of materials science, metamaterials have attracted extensive attention from scholars at home and abroad. Metamaterials are artificial materials with special electromagnetic properties formed by a large number of structural units arranged in a specific way. Under certain design, metamaterials can manipulate electromagnetic waves in entirely new ways, thereby creating a variety of unusual electromagnetic properties, such as negative refraction, phase panoptics, superlenses, and more. Because the extraordinary electromagnetic properties of metamaterials are not possessed by natural materials, metamaterials have a wide range of application prospects and can be used in the production of stealth clothing, metama...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 邓柯杨洋季春霖
Owner TSINGHUA UNIV
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