Journals >Optoelectronics Letters
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2025
Volume: 21 Issue 3
11 Article(s)
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Optimization of transverse unidirectional scattering by morphology modification of irregular V-shaped silicon nanoantennas
Ming ZENG, Feng ZHAO, and Xianghui WANG
A scheme based on irregular V-shaped silicon nanoantennas is proposed to optimize transverse unidirectional scattering under plane wave irradiation. Traditional methods of designing regular shapes offer fewer parameters and higher search efficiency. However, due to the limitations of regular shapes, it is challenging tA scheme based on irregular V-shaped silicon nanoantennas is proposed to optimize transverse unidirectional scattering under plane wave irradiation. Traditional methods of designing regular shapes offer fewer parameters and higher search efficiency. However, due to the limitations of regular shapes, it is challenging to meet high-precision design requirements. Irregular shape design allows for a broader range of adjustments, but the complexity of shape parameters leads to lower search efficiency and a higher likelihood of converging to local optima. This paper proposes an irregular fine-tuning scheme for regular V-shaped silicon nanoscale antennas that combines the advantages of both approaches. Firstly, the regular V-shaped nanoantenna is tuned to generate transverse unidirectional scattering and then transformed into a binary image. Subsequently, the kernel geometry is fixed while the morphology is modified by a surface contour method to form irregular V-shapes. Finally, those irregular V-shapes are input into a pre-trained predictor cascaded by Bayesian optimization (BO) and the nanoantenna's shape is progressively updated by minimizing the mean squared error (MSE) between the target scattering and the predicted scattering of irregular nanostructures. The results demonstrate that the optimized irregular V-shaped nanoantennas exhibit perfect transverse directional scattering and the scattering tail in the opposite direction is greatly shrunk, the MSE of its scattering compared to the ideal unidirectional scattering has decreased by approximately 29% after optimization. Our findings can promote all-dielectric nanoantennas with specific directional scattering in integrated nanophotonics circuits and sensors..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 129 (2025)
Anomaly monitoring and early warning of electric moped charging device with infrared image
Jiamin LI, Bo HAN, and Mingshun JIANG
Potential high-temperature risks exist in heat-prone components of electric moped charging devices, such as sockets, interfaces, and controllers. Traditional detection methods have limitations in terms of real-time performance and monitoring scope. To address this, a temperature detection method based on infrared imagePotential high-temperature risks exist in heat-prone components of electric moped charging devices, such as sockets, interfaces, and controllers. Traditional detection methods have limitations in terms of real-time performance and monitoring scope. To address this, a temperature detection method based on infrared image processing has been proposed: utilizing the median filtering algorithm to denoise the original infrared image, then applying an image segmentation algorithm to divide the image. After trimming the image boundaries, the corner detection algorithm is used to extract corner information from the image, acquiring the position of the rectangular selection area that includes all corners. Finally, the block partitioning algorithm is used for temperature detection of the selected area and to determine the type of fault in the charging device based on the threshold. Based on this method, an electric moped charging device monitoring and warning system using infrared images has been designed. Experimental results demonstrate that this monitoring system can effectively detect the location and temperature of the test area, display and transmit warning information in real time via software, and has a high accuracy rate. This system holds promise as a crucial tool for enhancing the safety of electric moped charging devices..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 136 (2025)
Bound state noise-like pulses generation from composite filtering effects
Qingyu CHANG, and Caishi ZHANG
This paper demonstrated the generation of multi-wavelength bound state noise-like pulse (BNLP) in a dispersion-managed composite-filtered fiber laser consisting of nonlinear polarization rotation (NPR) and loop. In the case of BNLP, the generation is caused by the interaction between two noise-like pulses (NLPs) induceThis paper demonstrated the generation of multi-wavelength bound state noise-like pulse (BNLP) in a dispersion-managed composite-filtered fiber laser consisting of nonlinear polarization rotation (NPR) and loop. In the case of BNLP, the generation is caused by the interaction between two noise-like pulses (NLPs) induced by the comb-filtering effect, and bound state level can be artificially controlled in the researches. Our work provides a new method for generating low-coherence pulses and establishes a research idea for the study of the comb-filtering effects..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 142 (2025)
Unveiling the relationship between Fabry-Perot laser structures and optical field distribution via symbolic regression
Wenqiang LI, Min WU, Weijun LI, Meilan HAO, and Lina YU
In recent years, machine learning (ML) techniques have been shown to be effective in accelerating the development process of optoelectronic devices. However, as "black box" models, they have limited theoretical interpretability. In this work, we leverage symbolic regression (SR) technique for discovering the In recent years, machine learning (ML) techniques have been shown to be effective in accelerating the development process of optoelectronic devices. However, as "black box" models, they have limited theoretical interpretability. In this work, we leverage symbolic regression (SR) technique for discovering the explicit symbolic relationship between the structure of the optoelectronic Fabry-Perot (FP) laser and its optical field distribution, which greatly improves model transparency compared to ML. We demonstrated that the expressions explored through SR exhibit lower errors on the test set compared to ML models, which suggests that the expressions have better fitting and generalization capabilities..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 149 (2025)
Graphene derivatives as efficient hole transport materials for lead-free double perovskite (Cs2SnI6) solar cells: a numerical study
Sarita YADAV, K. GUPTA Saral, and Mohan Singh NEGI Chandra
The double perovskite Cs2SnI6 has notable optical and electrical characteristics, rendering it a highly prospective candidate for deployment as the absorber layer in perovskite solar cells (PSCs). We simulated the performance of PSCs using lead-free Cs2SnI6 double perovskite absorber layer and graphene derivatives, namThe double perovskite Cs2SnI6 has notable optical and electrical characteristics, rendering it a highly prospective candidate for deployment as the absorber layer in perovskite solar cells (PSCs). We simulated the performance of PSCs using lead-free Cs2SnI6 double perovskite absorber layer and graphene derivatives, namely graphene oxide (GO) and reduced graphene oxide (rGO), as hole transport layers (HTLs). Our findings show that rGO offers an excellent hole extraction property with minimal interfacial recombination compared to GO. PSC utilizing rGO as the HTL material achieved a power conversion efficiency (PCE) of 19.07%, while those employing GO HTL attained only 16.9%. The superior performance of rGO is attributed to its greater charge carrier mobility of rGO and its favorable energy level alignment with the double perovskite absorber layer. In contrast, the mismatch in the charge transport properties between the absorber layer and the GO HTL resulted in poor performance. Our study showcases the potential of using graphene derivative-based HTLs for realizing lead-free PSCs..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 155 (2025)
Investigation of edge states variation in valley photonic crystals by modulating the refractive index of domain walls
Run ZHANG, Xingli ZHONG, Zhongxi LIN, Weibin QIU, and Hui SU
Realizing the valley Hall effect by breaking the spatial inversion symmetry of photonic systems has become a cutting-edge field of micro-nano-optics, since the valley degree of freedom was introduced into photonic system. Various novel devices based on the domain walls of the valley photonic crystals have also been demRealizing the valley Hall effect by breaking the spatial inversion symmetry of photonic systems has become a cutting-edge field of micro-nano-optics, since the valley degree of freedom was introduced into photonic system. Various novel devices based on the domain walls of the valley photonic crystals have also been demonstrated. In this article, we investigate the variation of edge states by the modulation of refractive index within the domain walls, and the geometric difference between the dielectric columns of the sublattices. Straight photonic crystal waveguides with three types of domain walls (bearded, zigzag, armchair) are constructed. Simulation results show that the creation of a double-edge state in the band diagram results in two windows of stable transmission in tunable bands. Our findings might have significant implications in the field of novel optical devices..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 160 (2025)
Design and test of cesium atomic concentration detection system based on TDLAS
Lizhen LIANG, Shanhu LIU, Yong WU, Jianglong WEI, and Yahong XIE
In order to better build the neutral beam injector with negative ion source (NNBI), the pre-research on key technologies has been carried out for the comprehensive research facility for fusion technology (CRFFT). Cesium seeding into negative-ion sources is a prerequisite to obtain the required negative hydrogen ion. ThIn order to better build the neutral beam injector with negative ion source (NNBI), the pre-research on key technologies has been carried out for the comprehensive research facility for fusion technology (CRFFT). Cesium seeding into negative-ion sources is a prerequisite to obtain the required negative hydrogen ion. The performance of ion source largely depends on the cesium conditions in the source. It is very necessary to quantitatively measure the amount of cesium in the source during the plasma on and off periods (vacuum stage). This article uses the absorption peak of cesium atoms near 852.1 nm to build a cesium atom concentration detection system based on tunable diode laser absorption spectroscopy (TDLAS) technology. The test experiment based on the cesium cell is carried out, and obtained the variation curve of cesium concentration at different temperatures. The experimental results indicate that the system detection range is within 5×106—2.5×107 pieces/cm3 and the system resolution better than 1×106 pieces/cm3..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 167 (2025)
Design and testing research of LiDAR for detecting atmospheric turbulence
Duoyang QIU, Xianyang LI, Hao YANG, Xiaomeng ZHU... and Xiang XU|Show fewer author(s)
Atmospheric turbulence is an important parameter affecting laser atmospheric transmission. This paper reports on a self-developed atmospheric turbulence detection LiDAR system (scanning differential image motion LiDAR (DIM-LiDAR) system). By designing and simulating the optical system of atmospheric turbulence detectioAtmospheric turbulence is an important parameter affecting laser atmospheric transmission. This paper reports on a self-developed atmospheric turbulence detection LiDAR system (scanning differential image motion LiDAR (DIM-LiDAR) system). By designing and simulating the optical system of atmospheric turbulence detection LiDAR, the basic optical imaging accuracy has been determined. By designing through electronics, the delay and gating time jitter of the system are kept within a small range, ensuring the accuracy of the sampling thickness of the optical column. The comparison observation results between the scanning DIM-LiDAR system and the ultrasonic anemometer show that both have the same trend of change, and the error is small. Long term observation results indicate that the scanning DIM-LiDAR developed based on optical and electronic design can effectively detect atmospheric turbulence profiles. This paper can provide theoretical and experimental basis for subsequent related research..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 172 (2025)
Rendering acceleration method based on JND and sample gradient
Ripei ZHANG, and Chunyi CHEN
Currently, the main idea of iterative rendering methods is to allocate a fixed number of samples to pixels that have not been fully rendered by calculating the completion rate. It is obvious that this strategy ignores the changes in pixel values during the previous rendering process, which may result in additional iterCurrently, the main idea of iterative rendering methods is to allocate a fixed number of samples to pixels that have not been fully rendered by calculating the completion rate. It is obvious that this strategy ignores the changes in pixel values during the previous rendering process, which may result in additional iterative operations. To solve this problem, we propose a sampling allocation method based on just noticeable difference (JND) and sample gradient information. Firstly, we obtain the regions in the scene with faster convergence speed by calculating the differences between four sets of pre rendered images, such as environment map regions, light source regions, etc. Afterwards, we use long short term memory (LSTM) to predict the JND information of high-quality rendering results, recorded as JNDf. Moreover, during the iterative rendering process, we use JNDf and sample gradients to calculate the number of additional samples required for the next iteration. Finally, we use the fixed JND threshold and grayscale change rate as the termination conditions for rendering. After experimental verification, our method's rendering results have significant advantages in peak signal-to-noise ratio (PSNR) and structural similarity index measurement (SSIM)..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 177 (2025)
CableSAM: an efficient automatic segmentation method for aircraft cabin cables
Aihua LING, Junwen WANG, Jiaming LU, and Ruyu LIU
Cabin cables, as critical components of an aircraft's electrical system, significantly impact the operational efficiency and safety of the aircraft. The existing cable segmentation methods in civil aviation cabins are limited, especially inautomation, heavily dependent on large amounts of data and resources, lackinCabin cables, as critical components of an aircraft's electrical system, significantly impact the operational efficiency and safety of the aircraft. The existing cable segmentation methods in civil aviation cabins are limited, especially inautomation, heavily dependent on large amounts of data and resources, lacking the flexibility to adapt to different scenarios.To address these challenges, this paper introduces a novel image segmentation model, CableSAM, specificallydesigned for automated segmentation of cabin cables. CableSAM improves segmentation efficiency and accuracy usingknowledge distillation and employs a context ensemble strategy. It accurately segments cables in various scenarioswith minimal input prompts. Comparative experiments on three cable datasets demonstrate that CableSAM surpassesother advanced cable segmentation methods in performance..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 183 (2025)
ICA-Net: improving class activation for weakly supervised semantic segmentation via joint contrastive and simulation learning
Zhuang YE, Ruyu LIU, and Bo SUN
In the field of optoelectronics, certain types of data may be difficult to accurately annotate, such as high-resolution optoelectronic imaging or imaging in certain special spectral ranges. Weakly supervised learning can provide a more reliable approach in these situations. Current popular approaches mainly adopt the cIn the field of optoelectronics, certain types of data may be difficult to accurately annotate, such as high-resolution optoelectronic imaging or imaging in certain special spectral ranges. Weakly supervised learning can provide a more reliable approach in these situations. Current popular approaches mainly adopt the classification-based class activation maps (CAM) as initial pseudo labels to solve the task. However, they may fail to estimate the complete object regions, especially in cases of multiple categories existing in one image or tight intersections existing among multiple categories. To solve the problem, we propose a two-branch framework with joint contrastive learning and simulation learning to mine more object regions and produce more complete CAM. Specifically, a contrastive learning branch is designed to learn class-independent activation maps from both foreground and background information, and an original CAM branch is served as supervision to provide accurate discriminative regions. Through simulation learning between the two branches, the enhanced activation maps, which are more complete to cover the objects, are achieved to generate accurate pixel-level pseudo labels. In addition, in order to actively provide important features for contrastive learning, we enhance the backbone in the contrastive learning branch via spatial and channel attention mechanisms. Extensive experiments on the PASCAL VOC 2012 and CUB-200-2011 benchmarks demonstrate that the proposed ICA-Net outperforms many state-of-the-art methods and achieves leading performance..
Optoelectronics Letters
- Publication Date: Jan. 24, 2025
- Vol. 21, Issue 3, 188 (2025)
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