Reverse Design of Terahertz Metamaterial Absorber

Zhaohui Xie; Weiwei Qu; Hu Deng; Guilin Li; Liping Shang

doi:10.3788/AOS230480

Acta Optica Sinica, Volume. 43, Issue 13, 1316001(2023)

Reverse Design of Terahertz Metamaterial Absorber

Zhaohui Xie¹, Weiwei Qu^1,2, Hu Deng^1,2, Guilin Li¹, and Liping Shang^1、*

Author Affiliations

¹School of Information Engineering, Southwest University of Science and Technology, Mianyang 621000, Sichuan, China

²Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Chengdu 610299, Sichuan, China

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Abstract Get PDF(in Chinese)

Figures & Tables(13)

Fig. 1. Schematic of technology process

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Fig. 2. Absorptivity curves of the structure with high absorption and high Q value

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Fig. 3. Absorptivity and Q value changing with L₁and G when r₁=44.5 μm. (a) Absorptivity; (b) Q value

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Fig. 4. Absorptivity and Q value changing with r₁ when L₁=36 μm and G=25 μm. (a) Absorptivity; (b) Q value

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Fig. 5. Current and electric field distribution diagrams. (a) Electric field distribution; (b) current distribution; (c) current distribution of the ring; (d) current distribution of double-opening resonant ring

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Fig. 6. Equivalent circuit diagrams. (a) Equivalent circuit diagram of double-opening resonant ring; (b) ring equivalent circuit diagram

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Table 1. Range of design parameters
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Table 1. Range of design parameters
Parameter Scale /μm Step Number
r₁ 40–45 0.5 10
L₁ 35–45 0.5 10
G 15–25 1.0 10

Table 2. Influence of the number of hidden layers on network performance
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Table 2. Influence of the number of hidden layers on network performance
Number of hidden layers 3 4 5 6 7 8 9
MSE 0.035 0.023 0.012 0.019 0.021 0.026 0.038
R 0.85 0.87 0.86 0.86 0.82 0.88 0.86
R_ER /% 1.8 1.3 0.9 1.5 1.7 1.6 1.7

Table 3. Influence of number of neuron nodes on network performance
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Table 3. Influence of number of neuron nodes on network performance
Number of neuron nodes 3 4 5 6 7 8 9 10 11 12
MSE 0.056 0.033 0.028 0.011 0.021 0.027 0.014 0.049 0.038 0.013
R 0.78 0.85 0.86 0.84 0.82 0.83 0.82 0.83 0.85 0.85
R_ER /% 2.6 1.7 1.9 0.9 1.4 1.5 1.0 1.8 1.6 0.9

Table 4. Setting of hidden layers
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Table 4. Setting of hidden layers
Number of hidden layers 1 2 3 4 5
Number of neuron nodes 6 9 12 9 6

Table 5. Absorption properties of Model A
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Table 5. Absorption properties of Model A
Fabrication tolerance /% r₁ L₁ G A /% Q
-2
-1
41.7
42.1
36.2
36.6
18.6
18.8
97.40
98.50
22.5
22.7
0 42.5 37.0 19.0 99.99 23.2
1 43.0 37.4 19.2 98.80 24.1
2 43.4 37.7 19.4 98.40 24.3

Table 6. Absorption properties of Model B
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Table 6. Absorption properties of Model B
Fabrication tolerance /% r₁ L₁ G A /% Q
-3 43.7 29.5 20.4 89.10 31.0
-2 44.1 33.0 20.6 88.80 31.1
-1 44.6 36.5 20.8 86.56 31.5
0 45.0 35.0 21.0 85.86 31.7
1 45.5 34.5 21.2 85.22 31.2
2 45.9 34.2 21.4 85.16 30.9
3 46.4 33.9 21.6 84.98 30.8

Table 7. Comparison of absorber performance
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Table 7. Comparison of absorber performance
Ref. Frequency /THz Absorptivity /%
［24］ 0.2-1.4 99.9
［25］ 1.336 99.59
［26］ 4.48 99.98
［27］ 2.3 99.7
Proposed 1.192 99.99

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Zhaohui Xie, Weiwei Qu, Hu Deng, Guilin Li, Liping Shang. Reverse Design of Terahertz Metamaterial Absorber[J]. Acta Optica Sinica, 2023, 43(13): 1316001

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