[go: up one dir, main page]

CN115859828B - A terahertz time delay design method based on Anderson localization principle - Google Patents

A terahertz time delay design method based on Anderson localization principle Download PDF

Info

Publication number
CN115859828B
CN115859828B CN202211637603.3A CN202211637603A CN115859828B CN 115859828 B CN115859828 B CN 115859828B CN 202211637603 A CN202211637603 A CN 202211637603A CN 115859828 B CN115859828 B CN 115859828B
Authority
CN
China
Prior art keywords
time delay
photons
frequency
defect
dielectric
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202211637603.3A
Other languages
Chinese (zh)
Other versions
CN115859828A (en
Inventor
黄峰
熊世鑫
陈也琛
陈燕青
王向峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fuzhou University
Original Assignee
Fuzhou University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fuzhou University filed Critical Fuzhou University
Priority to CN202211637603.3A priority Critical patent/CN115859828B/en
Publication of CN115859828A publication Critical patent/CN115859828A/en
Application granted granted Critical
Publication of CN115859828B publication Critical patent/CN115859828B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Optical Modulation, Optical Deflection, Nonlinear Optics, Optical Demodulation, Optical Logic Elements (AREA)

Abstract

本发明提出一种基于安德森局域化原理的太赫兹时间延迟器设计方法,包括以下步骤;步骤S1、利用电磁场仿真软件找到光子晶体结构模型,作为初始结构;步骤S2、按照晶体晶格的排布划分为10×10个小像素块,通过粒子群算法以“0”、“1”值对像素块的赋值来控制像素块中间介质柱的有无;步骤S3、随机生成介质柱晶格排布,将边界条件设置为完美匹配层边界;步骤S4、进行电磁场仿真,获得计算得到的透射率谱线,将其返回并计算初始FOM值;步骤S5、通过粒子群的自动搜索来产生新的晶格排布并仿真,与上一次FOM值进行比较;步骤S6、重复步骤S5并对比,并输出最终优化后的结构。本发明解决了现有的太赫兹时间延迟器设计困难、设计周期长等问题。

The present invention proposes a terahertz time delay design method based on the Anderson localization principle, comprising the following steps: step S1, using electromagnetic field simulation software to find a photonic crystal structure model as an initial structure; step S2, dividing into 10×10 small pixel blocks according to the arrangement of the crystal lattice, and using the particle swarm algorithm to assign "0" and "1" values to the pixel blocks to control the presence or absence of dielectric columns in the middle of the pixel blocks; step S3, randomly generating a dielectric column lattice arrangement, and setting the boundary condition to the perfect matching layer boundary; step S4, performing electromagnetic field simulation, obtaining the calculated transmittance spectrum, returning it and calculating the initial FOM value; step S5, generating a new lattice arrangement and simulating it through automatic search of the particle swarm, and comparing it with the last FOM value; step S6, repeating step S5 and comparing, and outputting the final optimized structure. The present invention solves the problems of the existing terahertz time delay design difficulty and long design cycle.

Description

Terahertz time delay device design method based on Andersen localization principle
Technical Field
The invention relates to the technical field of terahertz devices and numerical calculation, in particular to a design method of a terahertz time delay device based on an Andersen localization principle.
Background
The application of terahertz technology requires not only efficient wave sources and sensitive detectors, but also high-performance functional elements such as filters, modulators, switches, distributors, wavelength division multiplexers, time delays and the like to effectively control terahertz waves.
The terahertz functional devices have a plurality of different types, and the corresponding theories of the devices are independent, so when the terahertz functional device with a certain specific function is needed, firstly, a proper structure is searched in a template library matched with the terahertz functional device according to the specific function to serve as a basic model, if the proper structure cannot be found, a device model is designed according to the mature theory, and then, the characteristic structure parameters in the model are adjusted to finally generate the target device with the required performance. Obviously, this direct design method not only consumes a lot of time to find its corresponding template in the template library, but also requires a lot of experience of analytical modeling and theoretical analysis, which puts high demands on scientists and engineering technicians to complete their design tasks timely and effectively. Therefore, by using a reverse design method which can directly go from a specific function to a device structure, the adjustment stage of model parameters can be omitted, so that the design period of the functional device is shortened, and the aim of efficiently designing the terahertz functional device is fulfilled.
Disclosure of Invention
The invention provides a design method of a terahertz time delay device based on an Andersen localization principle, which solves the problems of difficult design, long design period and the like of the existing terahertz time delay device.
The invention adopts the following technical scheme.
A design method of a terahertz time delay device based on an Andersen localization principle, wherein the delay device comprises a substrate and a medium column fixed on the substrate, a microcavity is formed between part of the medium columns, the residence time of photons in the microcavity is controlled by adjusting the refractive index of the medium columns around the microcavity, and the controllable time delay is realized, and the design method comprises the following steps of;
Step S1, using electromagnetic field simulation software to find a two-dimensional periodic medium column type photon crystal structure model with a wide forbidden band, wherein the model is used as an initial structure, and the total number of medium columns of the initial structure is 10 multiplied by 10;
s2, dividing the two-dimensional photonic crystal lattice arrangement at the substrate into 10 multiplied by 10 small pixel blocks, and controlling the existence of a medium column in the middle of the pixel block by assigning values of 0 and 1 to the pixel blocks through a particle swarm algorithm, wherein 0 represents no medium column inserted, and 1 represents medium column inserted;
s3, randomly generating a group of 10 multiplied by 10 medium column lattice arrangement consisting of '0' pixel points and '1' pixel points, and setting boundary conditions as perfect matching layer boundaries;
S4, selecting an incident wave frequency as a forbidden band center frequency, setting boundary conditions in electromagnetic field simulation software as perfect matching layer boundaries, setting a quality factor evaluation function FOM representing device performance, setting the FOM as sum of root mean square errors of transmittance and set transmittance of a plurality of frequency points with the forbidden band center frequency and equal frequency intervals on two sides, setting a transmittance spectral line as a transmission peak with a fixed bandwidth and a peak value, introducing an initial structure into the electromagnetic field simulation software to perform electromagnetic field simulation, obtaining the calculated transmittance spectral line, returning the calculated transmittance spectral line and calculating an initial FOM value;
s5, generating new lattice arrangement through automatic searching of particle swarms, introducing the changed new structure into electromagnetic field simulation software for simulation, calculating FOM values of the new structure, comparing the FOM values with the previous FOM values, and determining whether the current lattice arrangement is reserved;
And S6, repeating the step S5, comparing the FOM value of the last iteration with the FOM value of the current iteration, and repeating the steps if the FOM value is improved, otherwise, finishing the optimization, and outputting a final optimized structure.
The dielectric column is of a structure with small terahertz loss, and the dielectric column is made of high-resistance silicon.
In the step S1 and the step S2, the frequency interval and the transmission peak position are defined in an objective function representing the device performance by electromagnetic field simulation software, in the assignment of the step S2 to the pixel block, "0" represents that a dielectric pillar is not inserted into the pixel block, and "1" represents that a dielectric pillar is inserted into the pixel block.
And S5, iterative optimization in the step S6, wherein whether the medium column exists on the substrate lattice is controlled through an algorithm, so that the method of adding the medium column is adopted, the photonic crystal with perfect lattice is changed into the photonic crystal with defects, and the photonic crystal with defects generates transmission peaks in a forbidden band, which is also called a defect mode.
When terahertz light with the frequency corresponding to the defect mode is injected into a defect structure formed by the defect mode, the frequency supported by the defect mode is consistent with the frequency of injected photons, so that the photons are localized in the defect structure, and a time delay effect required by a retarder is generated on the photons.
In the time delay effect, photons repeatedly oscillate between the adjacent defect cavity A and the defect cavity B, so that a delay effect is formed, and the photons in the two defect cavities have an attenuation effect and an interactive transmission effect.
The method comprises the steps of injecting femtosecond laser pulses into a defect cavity with photons in a local area, changing the refractive index of the medium column around the microcavity, enabling the local frequency of the defect cavity to deviate due to the laser pulses and generating difference with the frequency of the incident terahertz light, and accordingly enabling the photons in the local area to be released, and achieving the purpose of releasing the photons in a specific time.
The terahertz time delay device controls the residence time of local photons in the defect cavity by adjusting the injection initiation time of the femtosecond laser pulse so as to realize the function of the delay device.
The electromagnetic field simulation software is FDTD Solutions, the perfect matching layer is PERFECTLY MATCHED LAYER, PML for short, and the Binary particle swarm Optimization algorithm is Binary PARTICLE SWARM Optimization, BPSO for short.
According to the design method, the terahertz time delay device is rapidly designed through a BPSO algorithm, the FOM evaluation function is set to be the root mean square error of the transmissivity corresponding to the multipoint frequency and the ideal value, and the particle swarm algorithm outputs the final optimized structure through multiple iterations.
The terahertz time delay device based on the Andersen localization principle is a device which utilizes light to generate multiple scattering in a disordered medium to form photon localization, so that the light is limited in a certain area or path, and the optical path is changed, and the terahertz time-domain spectroscopy (THz-TDS), optical Coherence Tomography (OCT), ultra-fast time resolution spectroscopy and other optical detection fields are widely applied. By changing the lattice arrangement of the two-dimensional medium column type photonic crystal, a random medium with a certain disorder degree is formed, and photons are limited in a certain area or path by utilizing photon localization, so that the function of time delay is realized.
The method can design the terahertz time delay device by utilizing an intelligent algorithm on the basis of the two-dimensional photonic crystal and achieve the required performance.
Compared with the prior art, the invention has the following advantages:
1. The design method disclosed by the invention has higher design efficiency. Firstly, based on a two-dimensional medium column type photon crystal model, whether a lattice center medium column exists or not is controlled according to lattice arrangement of the two-dimensional medium column type photon crystal model, a group of initialized scattering medium column arrangement is randomly generated, an initial structure is guided into FDTD Solutions to perform electromagnetic field simulation, a simulation result is recorded and returned, FOM values (FOM) are calculated, iterative optimization design can be performed by the method, a required scattering medium column type time delay structure can be generated after optimization is completed, the whole optimization direction is judged according to gradient information of variation of a quality factor FOM, a structure adjustment direction can be found more purposefully, a template library is removed in the device design process is avoided by the reverse design method, and time and energy consumption for modeling analysis and theoretical analysis can be greatly saved.
2. The terahertz time delay device disclosed by the invention is small in volume, 4.2 millimeters in side length and 2 millimeters in height, and the whole size can be further optimized according to actual requirements.
3. According to the design method disclosed by the invention, the dielectric column is made of high-resistance silicon or other materials with smaller terahertz loss, so that the integration with the on-chip silicon-based terahertz system is facilitated.
Drawings
The invention is described in further detail below with reference to the attached drawings and detailed description:
FIG. 1 is a schematic diagram of stages of a terahertz time delay apparatus design method in an embodiment of the method of the present invention;
FIG. 2 is a schematic diagram of the final structure of the terahertz time delay apparatus (left) and its corresponding transmittance spectrum (right) in an embodiment of the method of the present invention;
fig. 3 is a graph showing the time-dependent changes of electric fields at the AB two-cavity positions when photons matching with local frequencies are injected in the presence or absence of a dielectric column, respectively, in the terahertz time-delay structure in an embodiment of the method of the present invention. The left image is a cavity A, the right image is a cavity B, and the illustration corresponds to the condition without a dielectric column;
FIG. 4 is a graph showing the dynamic change of the internal optical field with time when photons with completely matched local frequencies are injected into the terahertz time delay structure in an embodiment of the method of the present invention;
Fig. 5 is a schematic diagram of a terahertz time-delay versus local photon dynamic release in an embodiment of the method of the present invention.
Detailed Description
As shown in the figure, the design method of the terahertz time delay device based on the Andersen localization principle comprises a substrate and a dielectric column fixed on the substrate, wherein a microcavity is formed among part of the dielectric columns, and the residence time of photons in the microcavity is controlled by adjusting the refractive index of the dielectric column around the microcavity, so that the controllable time delay is realized, and the design method comprises the following steps of;
Step S1, using electromagnetic field simulation software to find a two-dimensional periodic medium column type photon crystal structure model with a wide forbidden band, wherein the model is used as an initial structure, and the total number of medium columns of the initial structure is 10 multiplied by 10;
s2, dividing the two-dimensional photonic crystal lattice arrangement at the substrate into 10 multiplied by 10 small pixel blocks, and controlling the existence of a medium column in the middle of the pixel block by assigning values of 0 and 1 to the pixel blocks through a particle swarm algorithm, wherein 0 represents no medium column inserted, and 1 represents medium column inserted;
s3, randomly generating a group of 10 multiplied by 10 medium column lattice arrangement consisting of '0' pixel points and '1' pixel points, and setting boundary conditions as perfect matching layer boundaries;
S4, selecting an incident wave frequency as a forbidden band center frequency, setting boundary conditions in electromagnetic field simulation software as perfect matching layer boundaries, setting a quality factor evaluation function FOM representing device performance, setting the FOM as sum of root mean square errors of transmittance and set transmittance of a plurality of frequency points with the forbidden band center frequency and equal frequency intervals on two sides, setting a transmittance spectral line as a transmission peak with a fixed bandwidth and a peak value, introducing an initial structure into the electromagnetic field simulation software to perform electromagnetic field simulation, obtaining the calculated transmittance spectral line, returning the calculated transmittance spectral line and calculating an initial FOM value;
s5, generating new lattice arrangement through automatic searching of particle swarms, introducing the changed new structure into electromagnetic field simulation software for simulation, calculating FOM values of the new structure, comparing the FOM values with the previous FOM values, and determining whether the current lattice arrangement is reserved;
And S6, repeating the step S5, comparing the FOM value of the last iteration with the FOM value of the current iteration, and repeating the steps if the FOM value is improved, otherwise, finishing the optimization, and outputting a final optimized structure.
The dielectric column is of a structure with small terahertz loss, and the dielectric column is made of high-resistance silicon.
In the step S1 and the step S2, the frequency interval and the transmission peak position are defined in an objective function representing the device performance by electromagnetic field simulation software, in the assignment of the step S2 to the pixel block, "0" represents that a dielectric pillar is not inserted into the pixel block, and "1" represents that a dielectric pillar is inserted into the pixel block.
And S5, iterative optimization in the step S6, wherein whether the medium column exists on the substrate lattice is controlled through an algorithm, so that the method of adding the medium column is adopted, the photonic crystal with perfect lattice is changed into the photonic crystal with defects, and the photonic crystal with defects generates transmission peaks in a forbidden band, which is also called a defect mode.
When terahertz light with the frequency corresponding to the defect mode is injected into a defect structure formed by the defect mode, the frequency supported by the defect mode is consistent with the frequency of injected photons, so that the photons are localized in the defect structure, and a time delay effect required by a retarder is generated on the photons.
In the time delay effect, photons repeatedly oscillate between the adjacent defect cavity A and the defect cavity B, so that a delay effect is formed, and the photons in the two defect cavities have an attenuation effect and an interactive transmission effect.
The method comprises the steps of injecting femtosecond laser pulses into a defect cavity with photons in a local area, changing the refractive index of the medium column around the microcavity, enabling the local frequency of the defect cavity to deviate due to the laser pulses and generating difference with the frequency of the incident terahertz light, and accordingly enabling the photons in the local area to be released, and achieving the purpose of releasing the photons in a specific time.
The terahertz time delay device controls the residence time of local photons in the defect cavity by adjusting the injection initiation time of the femtosecond laser pulse so as to realize the function of the delay device.
The electromagnetic field simulation software is FDTD Solutions, the perfect matching layer is PERFECTLY MATCHED LAYER, PML for short, and the Binary particle swarm Optimization algorithm is Binary PARTICLE SWARM Optimization, BPSO for short.
According to the design method, the terahertz time delay device is rapidly designed through a BPSO algorithm, the FOM evaluation function is set to be the root mean square error of the transmissivity corresponding to the multipoint frequency and the ideal value, and the particle swarm algorithm outputs the final optimized structure through multiple iterations.
Example 1:
Fig. 1 is a schematic diagram of each stage of a design method of a terahertz time delay device in an embodiment of the method of the present invention. S1 is an initialization stage, a group of 10 multiplied by 10 medium column lattice arrangements consisting of 0 and 1 pixel points are randomly generated, a silicon medium column is inserted in the middle of a 0 representing lattice, a1 representing no medium column is inserted, boundary conditions are set to PML boundaries, at the moment, the initialized medium column lattice arrangement is imported into FDTD Solution simulation software to calculate a corresponding optical response curve, then the initialized medium column lattice arrangement is returned and a quality factor FOM is calculated, S2 is a stage of searching for a certain particle in a certain iteration, the number of particles in the particle group in each iteration is set in the initialization stage, generally 5 particles are set, five corresponding lattice arrangements are globally searched out in the iteration stage, a new structure corresponding to the new structure is imported into FDTD Solution for 5 times, FOM values are respectively calculated, particle search results corresponding to the structure with the best FOM are set to be globally optimal, S3 is a stage of repeatedly searching for the particle group, the globally optimal values and the last globally optimal values are repeatedly compared, if the globally optimal values are not optimal values, the last iteration is reserved, and the last iteration results are better than the last iteration results are obtained, and the last iteration results are retained, if the last iteration results are better than the last iteration results are obtained, and the last iteration results are finally are retained.
Example 2:
Fig. 2 shows the final structure of the terahertz time delay apparatus (left) and its corresponding transmittance spectrum (right) in the method embodiment of the present invention. The frequency interval and the transmission peak position can be defined in an objective function representing the performance of the device, the essence of iterative optimization is that whether a medium column on a crystal lattice exists or not is controlled through an algorithm to change a photonic crystal with a perfect crystal lattice into a defective photonic crystal, the photonic crystal with the defect introduced generates a transmission peak in a forbidden band, which is also called a defect mode, when terahertz light with the frequency corresponding to the defect mode is injected into a defect structure, at the moment, the frequency supported by the defect mode is consistent with the frequency of injected photons, and the photons are localized in the defect, so that a certain time delay effect is generated on the photons. As the two defect cavities a and B are formed in the left figure, photons will oscillate repeatedly between the two cavities, thus forming a delay effect.
Example 3:
Fig. 3 is a graph showing the time-dependent electric field at the AB two-cavity position when photons matching with local frequencies are injected in the terahertz time-delay structure in the embodiment of the method of the present invention, respectively, in the presence or absence of a dielectric column. The left image is the A cavity, the right image is the B cavity, and the illustration corresponds to the condition without the dielectric column. The center frequency of the injected photon at this point was 0.27THz. It can be seen from the figure that the duration of the electric field component at the AB two-cavity position is only around 0.07ns without a dielectric pillar (i.e. light passes through the blank area corresponding to the device size) (inset). Therefore, the device may be ignored in calculating a delay time for photons. In the presence of a dielectric pillar, one time delay of the AB two cavities for photons is about 0.7ns, and there is some cross-transfer effect of photons in both cavities in addition to some attenuation.
Example 4:
FIG. 4 is a graph showing the dynamic change of the internal optical field with time when photons with completely matched local frequencies are injected into the terahertz time-delay structure in an embodiment of the method of the present invention. It can be seen from the figure that at the AB two-cavity location, the photons are perfectly localized in the defective microcavities. At 0.14ns, most of the photons are localized in the B cavity, and over time, at 0.23ns, photons are gradually coupled into the a cavity, except for a portion of the attenuation, and at 0.33ns, photons are gradually coupled into the B cavity. After a number of cycles, the photons at 0.7ns are eventually completely absorbed by the perfectly matching layer around the structure, including the portion of the photons that decays during dynamic transfer.
Example 5:
Fig. 5 is a schematic diagram of a terahertz time-delay versus local-area photon dynamic release in an embodiment of the method of the present invention. In the figure, by injecting femtosecond laser pulses into a defect cavity with a certain localized photon, the refractive index of a medium column around the microcavity can change along with the irradiation of the laser pulses, so that the localized frequency of the defect cavity is shifted, the mode supported by a defect mode is inconsistent with the incident light frequency, and the localized photon can be released. Therefore, by adjusting the injection initiation time of the femtosecond pulse, the terahertz time delay can control the residence time of the local photon in the defect, thereby realizing the function of the delay.
The foregoing description is only of the preferred embodiments of the invention, and all changes and modifications that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

Claims (6)

1.一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:所述延迟器包括基底和固定于基底上的介质柱,部分介质柱间形成微腔,通过调整微腔周围介质柱的折射率来控制光子在微腔中的停留时间,实现可控时间延迟,所述设计方法包括以下步骤;1. A terahertz time delay device design method based on the Anderson localization principle, characterized in that: the delay device comprises a substrate and a dielectric column fixed on the substrate, a microcavity is formed between some of the dielectric columns, and the residence time of photons in the microcavity is controlled by adjusting the refractive index of the dielectric column around the microcavity to achieve controllable time delay, and the design method comprises the following steps; 步骤S1、利用电磁场仿真软件找到具有宽禁带的二维周期性介质柱型光子晶体结构模型,作为初始结构,初始结构的介质柱总数目为10×10个;Step S1, using electromagnetic field simulation software to find a two-dimensional periodic dielectric column photonic crystal structure model with a wide bandgap as an initial structure, where the total number of dielectric columns in the initial structure is 10×10; 步骤S2、按照基底处二维光子晶体晶格的排布划分为10×10个小像素块,通过粒子群算法以“0”、“1”值对像素块的赋值来控制像素块中间介质柱的有无;Step S2, dividing the substrate into 10×10 small pixel blocks according to the arrangement of the two-dimensional photonic crystal lattice at the substrate, and using a particle swarm algorithm to assign values of “0” or “1” to the pixel blocks to control the presence or absence of dielectric columns in the middle of the pixel blocks; 步骤S3、随机生成一组10×10的由“0”和“1”像素点组成的介质柱晶格排布,将边界条件设置为完美匹配层边界;Step S3, randomly generate a set of 10×10 dielectric column lattice arrangements consisting of "0" and "1" pixel points, and set the boundary condition to a perfectly matched layer boundary; 步骤S4、选择入射波频率为禁带中心频率,电磁场仿真软件中的边界条件设置为完美匹配层边界;设定表示器件性能的品质因数评价函数FOM,FOM设定为禁带中心频率及两边等频率间隔的多个频率点的透射率与设定透射率的均方根误差之和,设定透射率谱线为中心频率等于入射波频率的一个具有固定带宽和峰值的透射峰,将初始结构导入电磁场仿真软件进行电磁场仿真,获得计算得到的透射率谱线,将其返回并计算初始FOM值;Step S4, selecting the incident wave frequency as the center frequency of the bandgap, and setting the boundary condition in the electromagnetic field simulation software to the perfect matching layer boundary; setting the quality factor evaluation function FOM representing the device performance, and setting the FOM to the sum of the transmittance of the center frequency of the bandgap and multiple frequency points with equal frequency intervals on both sides and the set transmittance RMS error, setting the transmittance spectrum line to a transmission peak with a fixed bandwidth and peak value whose center frequency is equal to the incident wave frequency, importing the initial structure into the electromagnetic field simulation software for electromagnetic field simulation, obtaining the calculated transmittance spectrum line, returning it and calculating the initial FOM value; 步骤S5、通过粒子群的自动搜索来产生新的晶格排布,将更改后的新结构导入电磁场仿真软件进行仿真,计算其FOM值并与上一次FOM值进行比较,决定是否保留当前的晶格排布;Step S5, generating a new lattice arrangement through automatic search of the particle swarm, importing the modified new structure into the electromagnetic field simulation software for simulation, calculating its FOM value and comparing it with the previous FOM value, and deciding whether to keep the current lattice arrangement; 步骤S6、重复步骤S5并对比上一次与本次迭代的FOM值,FOM值有所改善则继续重复,否则优化结束,并输出最终优化后的结构;Step S6, repeat step S5 and compare the FOM values of the previous iteration with the current iteration. If the FOM value is improved, continue to repeat. Otherwise, the optimization ends and the final optimized structure is output; 所述介质柱为对太赫兹损耗较小的结构,其材质包括高阻硅;The dielectric column is a structure with low terahertz loss, and its material includes high-resistance silicon; 步骤S5、步骤S6中的迭代优化,通过算法控制基底晶格上介质柱的有无,以加入介质柱的方法,将完美晶格的光子晶体改造成有缺陷的光子晶体,并使有缺陷的光子晶体在禁带内产生透射峰,也称为缺陷模;The iterative optimization in step S5 and step S6 controls the presence or absence of dielectric pillars on the substrate lattice through an algorithm, and transforms the photonic crystal of the perfect lattice into a defective photonic crystal by adding dielectric pillars, and makes the defective photonic crystal generate a transmission peak in the forbidden band, which is also called a defect mode; 当与缺陷模所对应频率的太赫兹光注入缺陷模形成的缺陷结构时,此时缺陷模所支持的频率与注入光子的频率一致,使光子被局域化在缺陷结构中,对光子产生延迟器所需的时间延迟效应。When terahertz light of the frequency corresponding to the defect mode is injected into the defect structure formed by the defect mode, the frequency supported by the defect mode is consistent with the frequency of the injected photons, so that the photons are localized in the defect structure, producing the time delay effect required by the delay device. 2.根据权利要求1所述的一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:所述步骤S1、步骤S2中,频率区间和透射峰位置在电磁场仿真软件代表器件性能的目标函数中进行定义,步骤S2对像素块的赋值中,“0”代表不在该像素块处插入介质柱,“1”代表在该像素块处插入介质柱。2. According to claim 1, a terahertz time delay device design method based on the Anderson localization principle is characterized in that: in the steps S1 and S2, the frequency range and the transmission peak position are defined in the objective function representing the device performance of the electromagnetic field simulation software, and in the assignment of the pixel block in step S2, "0" represents that a dielectric column is not inserted at the pixel block, and "1" represents that a dielectric column is inserted at the pixel block. 3.根据权利要求1所述的一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:所述时间延迟效应中,光子在相邻的缺陷腔A、缺陷腔B之间反复震荡,从而形成延迟效应,两缺陷腔中的光子存在衰减效应和交互传递效应。3. According to claim 1, a terahertz time delay device design method based on the Anderson localization principle is characterized in that: in the time delay effect, photons repeatedly oscillate between adjacent defect cavities A and B, thereby forming a delay effect, and the photons in the two defect cavities have attenuation effect and mutual transmission effect. 4.根据权利要求1所述的一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:所述部分介质柱间形成微腔,通过调整微腔周围介质柱的折射率来控制光子在微腔中的停留时间,实现可控时间延迟,具体方法为:将飞秒激光脉冲注射到局域有光子的缺陷腔中,改变该微腔周围的介质柱折射率,使该缺陷腔的局域频率因激光脉冲而发生偏移,与入射的太赫兹光频率间产生差异,从而使被局域的光子释放,达到在特定时间释放光子的目的。4. A terahertz time delay device design method based on the Anderson localization principle according to claim 1, characterized in that: a microcavity is formed between some of the dielectric columns, and the residence time of photons in the microcavity is controlled by adjusting the refractive index of the dielectric columns around the microcavity to achieve controllable time delay, and the specific method is: injecting a femtosecond laser pulse into a defect cavity where photons are localized, changing the refractive index of the dielectric columns around the microcavity, so that the local frequency of the defect cavity is shifted due to the laser pulse, resulting in a difference between the local frequency of the defect cavity and the incident terahertz light frequency, thereby releasing the localized photons and achieving the purpose of releasing photons at a specific time. 5.根据权利要求4所述的一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:太赫兹时间延迟器通过调节飞秒激光脉冲的注入发起时间,对局域光子在缺陷腔中的停留时间进行控制,以实现延迟器的功能。5. A terahertz time delay device design method based on the Anderson localization principle according to claim 4, characterized in that the terahertz time delay device controls the residence time of localized photons in the defect cavity by adjusting the injection initiation time of the femtosecond laser pulse to realize the function of the delay device. 6. 根据权利要求4所述的一种基于安德森局域化原理的太赫兹时间延迟器设计方法,其特征在于:电磁场仿真软件为FDTD Solutions;所述完美匹配层为Perfectly MatchedLayer,简称PML;所述粒子群算法为二进制粒子群优化算法,即为Binary Particle SwarmOptimization,简称BPSO。6. A terahertz time delay device design method based on the Anderson localization principle according to claim 4, characterized in that: the electromagnetic field simulation software is FDTD Solutions; the perfectly matched layer is Perfectly Matched Layer, referred to as PML; the particle swarm algorithm is a binary particle swarm optimization algorithm, that is, Binary Particle Swarm Optimization, referred to as BPSO.
CN202211637603.3A 2022-12-20 2022-12-20 A terahertz time delay design method based on Anderson localization principle Active CN115859828B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211637603.3A CN115859828B (en) 2022-12-20 2022-12-20 A terahertz time delay design method based on Anderson localization principle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211637603.3A CN115859828B (en) 2022-12-20 2022-12-20 A terahertz time delay design method based on Anderson localization principle

Publications (2)

Publication Number Publication Date
CN115859828A CN115859828A (en) 2023-03-28
CN115859828B true CN115859828B (en) 2025-07-04

Family

ID=85674334

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211637603.3A Active CN115859828B (en) 2022-12-20 2022-12-20 A terahertz time delay design method based on Anderson localization principle

Country Status (1)

Country Link
CN (1) CN115859828B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101387763A (en) * 2008-10-22 2009-03-18 中国科学院长春光学精密机械与物理研究所 Optical signal delay device based on photonic crystal structure
CN111122502A (en) * 2019-12-31 2020-05-08 长春理工大学 Particle swarm optimization method for refractive index of glue permeation interface based on pulse terahertz technology

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016028363A2 (en) * 2014-06-06 2016-02-25 Massachusetts Institute Of Technology Methods, systems, and apparatus for programmable quantum photonic processing
CN105572919B (en) * 2016-02-15 2021-02-19 深圳大学 Magneto-optical modulator based on photonic crystal cross waveguide
CN113991313B (en) * 2021-10-30 2024-07-02 福州大学 Design method of pixel terahertz band-pass filter

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101387763A (en) * 2008-10-22 2009-03-18 中国科学院长春光学精密机械与物理研究所 Optical signal delay device based on photonic crystal structure
CN111122502A (en) * 2019-12-31 2020-05-08 长春理工大学 Particle swarm optimization method for refractive index of glue permeation interface based on pulse terahertz technology

Also Published As

Publication number Publication date
CN115859828A (en) 2023-03-28

Similar Documents

Publication Publication Date Title
US9791258B2 (en) Methods, systems, and apparatus for programmable quantum photonic processing
Fiers et al. Nanophotonic reservoir computing with photonic crystal cavities to generate periodic patterns
CN115859828B (en) A terahertz time delay design method based on Anderson localization principle
Yuan et al. Ultra‐Compact and NonVolatile Nanophotonic Neural Networks
Shi et al. Transmission characteristics of multi-structure bandgap for lithium niobate integrated photonic crystal and waveguide
CN113328259B (en) Metamaterial absorber, device, system and preparation method thereof
CN118688953A (en) Reverse design method of sub-wavelength grating high-flux particle capture device based on neural network
CN109459850B (en) Method for realizing and designing local light field structure
US12393063B2 (en) Optical modulator with sink waveguide
CN117791286A (en) Mid-infrared ultrafast laser control system and method based on data-driven neural network
Ulieru et al. The comparative analysis of 2D photonic crystals applications based on specific modeling/simulation results
Shi et al. Artificial intelligence-assisted accurate spectrum prediction in design of terahertz fiber operating in 6G communication window
Gangaraj et al. Adjoint-optimized logic gates for photonic computing
Finot et al. Machine learning for ultrafast nonlinear fibre photonics
Zhou et al. Inverse design of a terahertz metasurface with split ring resonator based on deep learning
Shahi et al. Design, simulation and optimization of all-optical NOT/XOR logic gates for use in the new photonic crystal 4× 2 encoder
Grabulosa 3D printed photonic circuits towards efficient and scalable integration of hybrid photonic platforms
Xu et al. Engineering nonlinear activation functions for all-optical neural networks via quantum interference
CN120874484B (en) A Finite Element Modeling and Analysis Method for Nanosecond Pulse Laser Target Impact Materials
Valliammai et al. Deep Neural Network for Predicting Supercontinuum Broadening in Chalcogenide Photonic Quasi crystal Fiber
Raeker et al. High-Efficiency Compound Metaoptics for Independent Amplitude and Phase Control
Chen et al. Inverse design of hole-type trimer metasurface based on RP-CNN-DBN
Chen et al. 1-D band structure prediction in photonic fishbone structure using artificial neural network
Wang et al. Predicting photonic crystal fiber optical properties using a stacking machine learning model
Zahraii et al. A Deep Learning Framework for Prediction and Inverse Design of Nanoscale Optical Forces near Gradient Metasurfaces

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant