A near-perfect metamaterial selective absorber for high-efficiency solar photothermal conversion

Qi, Buxiong; Shou, Haijun; Zhang, Jingwei; Chen, Wenqiong; Feng, Junlang; Niu, Tiaoming; Mei, Zhonglei

doi:10.1016/j.ijthermalsci.2023.108580

Cited by 8 publications

(5 citation statements)

References 47 publications

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“…As proven in Figure 10b, although the SPR loss peak is blue-shifted as the refractive index increases, the low-order SPP mode is the largest at the refractive index Ri = 1.39775. sensitivity is 3757 pm/°C, when the temperature is close to 5 °C. This sensitivit excellent results in SPR sensors with a diameter of about 20 µm and has a strong pot for development [55,56].…”

Section: Refractive Index Sensing Performancementioning

confidence: 75%

“…In Figure 9b, five temperature sensitivities are calculated: 3757 pm/ • C, 3271 pm/ • C, 2785 pm/ • C, 2299 pm/ • C, and 1813 pm/ • C, respectively. The highest temperature sensitivity is 3757 pm/ • C, when the temperature is close to 5 • C. This sensitivity has excellent results in SPR sensors with a diameter of about 20 µm and has a strong potential for development [55,56].…”

Section: Temperature Sensing Performancementioning

confidence: 77%

“…sensitivity is 3757 pm/°C, when the temperature is close to 5 °C. This sensitivity has excellent results in SPR sensors with a diameter of about 20 µm and has a strong potential for development [55,56].…”

Section: Temperature Sensing Performancementioning

confidence: 86%

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Design of Surface Plasmon Resonance-Based D-Type Double Open-Loop Channels PCF for Temperature Sensing

Gao,

Wei,

Yang

et al. 2023

Sensors

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Here, we document a D-type double open-loop channel floor plasmon resonance (SPR) photonic crystal fiber (PCF) for temperature sensing. The grooves are designed on the polished surfaces of the pinnacle and backside of the PCF and covered with a gold (Au) film, and stomata are distributed around the PCF core in a progressive, periodic arrangement. Two air holes between the Au membrane and the PCF core are designed to shape a leakage window, which no longer solely averts the outward diffusion of Y-polarized (Y-POL) core mode energy, but also sets off its coupling with the Au movie from the leakage window. This SPR-PCF sensor uses the temperature-sensitive property of Polydimethylsiloxane (PDMS) to reap the motive of temperature sensing. Our lookup effects point out that these SPR-PCF sensors have a temperature sensitivity of up to 3757 pm/°C when the temperature varies from 5 °C to 45 °C. In addition, the maximum refractive index sensitivity (RIS) of the SPR-PCF sensor is as excessive as 4847 nm/RIU. These proposed SPR-PCF temperature sensors have an easy nanostructure and proper sensing performance, which now not solely improve the overall sensing performance of small-diameter fiber optic temperature sensors, but also have vast application prospects in geo-logical exploration, biological monitoring, and meteorological prediction due to their remarkable RIS and exclusive nanostructure.

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Section: Refractive Index Sensing Performancementioning

confidence: 75%

Section: Temperature Sensing Performancementioning

confidence: 77%

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Design of Surface Plasmon Resonance-Based D-Type Double Open-Loop Channels PCF for Temperature Sensing

Gao,

Wei,

Yang

et al. 2023

Sensors

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“…In the combination of absorbers and the PSOs in the past, most researchers often choose the average absorption rate of the region as the figure of merit (FOM), which ignores the need for broadband absorbers to meet a wider absorption bandwidth. Therefore, after discussion, we define the formula of FOM as follows [32][33][34]:…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Active Broadband Absorber Based on Phase-Change Materials Optimized via Evolutionary Algorithm

Ma,

Tian,

Cheng

et al. 2023

Coatings

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This article proposes a temperature-controlled absorber based on VO2, which consists of five layers: a disk-shaped VO2 layer array, a dielectric layer, a circular hole VO2 array, a SiO2 layer, and a gold substrate from top to bottom. We optimized the thickness of the other four layers of the absorber, except for the gold layer, using PSO. After ten iterations, we determined that the optimal parameters for the top-to-bottom four-layer thicknesses were 0.183 μm, 0.452 μm, 0.557 μm and 1.994 μm. At this point, our absorber reached the optimal absorption parameters, and we plotted the absorption spectrum under these conditions. We found that the absorption rate at 29.1–47.2 THz was higher than 90%, and the absorption bandwidth was as high as 18.1 THZ. This frequency band covers most of the atmospheric window area (23–37.5 THz), so it will have good practicality. At 30.8 THz and 43.12 THz, there were perfect absorption peaks with absorption rates of 99.99% and 99.99%, respectively. We explained the cause of absorption from the perspective of electric field, and then we studied the change in the absorption curve of the absorber when the temperature of VO2 changed, and we can directly observe the changes in the electric field to explain this. Finally, we can tune the bandwidth and absorption rate of the absorber by changing the structure of the VO2 pattern. After comparing with other absorbers developed in recent years, our absorber still has good competitiveness, and we believe that our solution is expected to have outstanding performance in fields such as photothermal conversion and thermal stealth in the future.

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“…Compared with conventional absorbers, MAs have the advantages of small size, adjustable absorption bandwidth, and high absorptivity. They are widely used in solar energy harvesting [8][9][10][11], optical cloaking [12][13][14][15], and optical filters [16,17].…”

Section: Introductionmentioning

confidence: 99%

Deep-learning-assisted design of multi-degree-of-freedom metamaterial absorber

Wang,

Ma,

Wei

et al. 2024

Phys. Scr.

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In recent years, the development of metamaterial absorbers (MAs) based on deep learning methods has become a popular research topic. Nevertheless, conventional analytical approaches have limitations, leading to MAs characterized by low-degree-of-freedom cell structures, thereby restricting their absorption characteristics. In this study, we propose a multi-degree-of-freedom MA with multiple variable parameters in terms of structures, materials, and number of layers, which are distinguished by coding. Additionally, deep learning models, including a fully connected neural network, recurrent neural network, AlexNet, and residual neural network, are designed to predict structures and absorption spectra. We compare the prediction accuracy of these four neural network models and identify the optimal network model for spectral prediction and on-demand design. Using trained neural network models, we successfully designed broadband, dual-band, and single-band MAs in on-demand design. Compared with other design methods, this method provides a greater degree of freedom in device design, which allows the design of MAs to have more absorption characteristics

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A near-perfect metamaterial selective absorber for high-efficiency solar photothermal conversion

Cited by 8 publications

References 47 publications

Design of Surface Plasmon Resonance-Based D-Type Double Open-Loop Channels PCF for Temperature Sensing

Design of Surface Plasmon Resonance-Based D-Type Double Open-Loop Channels PCF for Temperature Sensing

Active Broadband Absorber Based on Phase-Change Materials Optimized via Evolutionary Algorithm

Deep-learning-assisted design of multi-degree-of-freedom metamaterial absorber

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