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学者姓名：顾天奇
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Abstract ：
Metalenses have attracted a great deal of research interests due to the property of light controllability. How to enhance the focusing effect of metalens has always been a key problem that many researchers have been working on. In this paper, we propose a novel sub-dimensional resonance-based optimization method for dielectric metalens with golden angle spiral arrays. The waveguiding effect is first applied to the initial design of the quasiperiodic metalens through the defined equivalent period. Then the genetic algorithm is improved for adjusting the sub-dimensional structure of the initial metalens. The optimization results show that the peak intensity of central hot spot increases by 32 % while keeping the full width at half maximum (FWHM) almost unchanged. At the same time, the field intensity of side lobes around the hot spot decreases, which means that a potential way for high-contrast imaging is provided.
Keyword ：
Dielectric metalens Dielectric metalens Genetic algorithm Genetic algorithm Golden angle spiral Golden angle spiral High-contrast imaging High-contrast imaging Quasi-periodic arrays Quasi-periodic arrays
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| GB/T 7714 | Gu, Tianqi , Guo, Ziming , Tang, Dawei et al. Design and optimization of dielectric metalens with quasi-periodic arrays [J]. | OPTICAL MATERIALS , 2024 , 148 . |
| MLA | Gu, Tianqi et al. "Design and optimization of dielectric metalens with quasi-periodic arrays" . | OPTICAL MATERIALS 148 (2024) . |
| APA | Gu, Tianqi , Guo, Ziming , Tang, Dawei , Luo, Tianzhi . Design and optimization of dielectric metalens with quasi-periodic arrays . | OPTICAL MATERIALS , 2024 , 148 . |
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The characteristic parameters, such as curvature radius of asperity, height distribution, and asperity density play a decisive role when studying the contact characteristics of rough surfaces. A new method of asperity definition based on curve fitting and peak refit, named the deterministic method, is proposed in this paper. The real topography of the rough surface is described by the moving least-squares method. And the local maximum of the curve is defined as the asperity, and the local minimum is defined as the valley. To improve the stability of characteristic parameters of the rough surfaces, this method regenerates a new asperity when the asperities are gathered too closely. Both the characteristic parameters obtained by the deterministic method and the spectral moment method are used in two typical elastic-elastoplastic-plastic contact models, to analyze the contact characteristics of rough surfaces. Numerical calculation results show that, compared to the spectral moment method, the deterministic method demonstrates greater consistency across different sampling intervals, indicating lower sensitivity to sampling interval variations. This improves the accuracy and stability of contact performance parameters, validating the effectiveness of the proposed method, which can serve as a feasible approach for analyzing fine contact on rough surfaces.
Keyword ：
Contact model Contact model Rough surfaces Rough surfaces Sampling interval Sampling interval The deterministic method The deterministic method
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| GB/T 7714 | Fang, Bing , Huang, Weibin , Luo, Yusheng et al. Quantitative Characterization of Surface Topography Using an Improved Deterministic Method [J]. | TRIBOLOGY LETTERS , 2024 , 72 (4) . |
| MLA | Fang, Bing et al. "Quantitative Characterization of Surface Topography Using an Improved Deterministic Method" . | TRIBOLOGY LETTERS 72 . 4 (2024) . |
| APA | Fang, Bing , Huang, Weibin , Luo, Yusheng , Xie, Limin , Gu, Tianqi . Quantitative Characterization of Surface Topography Using an Improved Deterministic Method . | TRIBOLOGY LETTERS , 2024 , 72 (4) . |
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Due to their good approximation accuracy and local fitting characteristics, the moving least squares (MLS) and moving total least squares (MTLS) methods are widely used in various engineering fields. However, neither of these two methods is robust and they cannot effectively deal with outliers in measurement data. To eliminate the negative influence of outliers and achieve robust reconstruction, a novel MTLS method is proposed in this paper, which introduces local Bayesian estimation combined with clustering using representatives (CURE) algorithm. In the support domain, this method adopts a two-step process to remove the abnormal points and adjust the weights of discrete points through compound weighting. Bayesian estimation is first performed on discrete points to derive the reference model, and the residuals are calculated as the input of CURE clustering. The points with large residuals are classified into one cluster and removed. The remaining points undergo repeated processing until the iteration concludes. A gradient weight function based on the residuals and a compact support weight function are combined to determine the final estimated value using weighted Bayesian estimation. The simulations and experiments demonstrate that the proposed reconstruction method achieves excellent accuracy and robustness, surpassing several existing methods when handling highly contaminated datasets.
Keyword ：
Bayesian estimation Bayesian estimation Clustering using representatives Clustering using representatives Measurement data Measurement data Moving total least squares Moving total least squares Outliers Outliers
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| GB/T 7714 | Gu, Tianqi , Kang, Cheng , Tang, Dawei et al. A robust reconstruction method based on local Bayesian estimation combined with CURE clustering [J]. | INFORMATION SCIENCES , 2024 , 680 . |
| MLA | Gu, Tianqi et al. "A robust reconstruction method based on local Bayesian estimation combined with CURE clustering" . | INFORMATION SCIENCES 680 (2024) . |
| APA | Gu, Tianqi , Kang, Cheng , Tang, Dawei , Lin, Shuwen , Luo, Tianzhi . A robust reconstruction method based on local Bayesian estimation combined with CURE clustering . | INFORMATION SCIENCES , 2024 , 680 . |
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Due to its capacity to depict intricate geometric shapes and topological structures, moving total least squares (MTLS) method has garnered considerable attention from a diverse spectrum of researchers, finding extensive utility in the domain of reverse engineering. Nonetheless, the utilization of MTLS becomes impractical when dealing with datasets containing outliers. Drawing inspiration from the construction principle of MTLS, a regionally asymptotic moving total least squares (RAMTLS) approach is proposed to achieve robust reconstruction of highly polluted measurement dataset, in which the Bayesian estimation and density-based spatial clustering of applications with noise (DBSCAN) are used for outlier detection. In contrast to the conventional method, the proposed approach employs a step-by-step iterative strategy to mitigate the adverse impact of outliers. Within this framework, Student-t distribution-based estimation with non-prior information is used to pre-fit the data within the support domain, followed by clustering the acquired absolute residuals. Upon the completion of the regression-clustering iteration, a weighted Bayesian estimation is further applied to the remaining data to ascertain the ultimate estimated value. Compared with existing competitive methods, the simulations and experiments emphasize the effectiveness and reliability of the proposed reconstruction method.
Keyword ：
Bayesian estimation Bayesian estimation DBSCAN clustering DBSCAN clustering Moving total least squares Moving total least squares Surface reconstruction Surface reconstruction
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| GB/T 7714 | Gu, Tianqi , Wang, Jun , Tang, Dawei et al. A novel reconstruction method with robustness for polluted measurement dataset [J]. | ADVANCED ENGINEERING INFORMATICS , 2024 , 62 . |
| MLA | Gu, Tianqi et al. "A novel reconstruction method with robustness for polluted measurement dataset" . | ADVANCED ENGINEERING INFORMATICS 62 (2024) . |
| APA | Gu, Tianqi , Wang, Jun , Tang, Dawei , Wang, Jian , Jiang, Xiangqian . A novel reconstruction method with robustness for polluted measurement dataset . | ADVANCED ENGINEERING INFORMATICS , 2024 , 62 . |
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Due to the high accuracy of computation, radial basis function (RBF) is widely recognized as a versatile and effective method for interpolating and approximating discrete points in various fields. However, RBF is quite sensitive to outliers, which can easily lead to distorted results. In this article, a novel overlapped domain-based RBF (ODRBF) method is proposed, in which the concept of effective domain is introduced to build a moving model, and Student's t-regression and Gaussian mixture model (GMM) clustering are used for dealing with local anomalies. By introducing the effective domain, the estimated points and domain radius are constructed and the global model can be transformed into local estimation models. In each effective domain, a series of estimation models are iteratively generated through Student's t-regression, and based on the distances between the estimation model and discrete points, GMM clustering is used to subsequently select the data as the input of the next regression. This iterative strategy in each effective domain ensures the removal of multiple outliers. Then, the preserved points in the processed effective domain are used to obtain local estimated value by RBF. The proposed method demonstrates strong robustness to highly contaminated dataset in the reconstruction of the simulation and experimental datasets.
Keyword ：
Effective domain Effective domain Gaussian mixture model clustering Gaussian mixture model clustering Radial basis function Radial basis function Student 's t -distribution Student 's t -distribution
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| GB/T 7714 | Gu, Tianqi , Wang, Jun , Tang, Dawei et al. Reconstruction of measurement data with multiple outliers using novel domain-based RBF [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 214 . |
| MLA | Gu, Tianqi et al. "Reconstruction of measurement data with multiple outliers using novel domain-based RBF" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 214 (2024) . |
| APA | Gu, Tianqi , Wang, Jun , Tang, Dawei , Wang, Jian , Guo, Tong . Reconstruction of measurement data with multiple outliers using novel domain-based RBF . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 214 . |
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Over the past several years, there has been a substantial surge in the utilization of metasurfaces in microelectronics and micro-optical devices. As one of their applications, metalenses have aroused significant research interest. In this paper, a new optimization method based on micro co-fluctuation model is proposed to optimize the initial metalens for better focusing performance by adjusting the structural dimensions of nanopillars. A segmenting iteration strategy is used to legitimately reduce the computation space. Meanwhile, an improved Harris Hawks Optimizer (IHHO) is proposed to obtain the optimal solutions, in which a new formula for escape energy is defined to promote the diversity of solution space. The optimization results indicate that the proposed optimization method effectively enhances the focusing capability of the initial metalens with a numerical aperture (NA) of about 0.7 and an operating wavelength of 10.6 & mu;m. The maximum field intensity of the central hot spot and the absolute efficiency have increased by approximately 59.02% and 71.13%, respectively, and the full width at half maximum (FWHM) remains nearly the same value, which provides the potential for achieving high-contrast imaging.
Keyword ：
Harris Hawks Optimizer Harris Hawks Optimizer High-contrast imaging High-contrast imaging Metalens Metalens Optimization design Optimization design Waveguiding effect Waveguiding effect
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| GB/T 7714 | Gu, Tianqi , Cai, Hangbin , Xu, Yongjia et al. The optimization method with segmenting iteration strategy for a long-wavelength infrared metalens [J]. | OPTICS COMMUNICATIONS , 2023 , 546 . |
| MLA | Gu, Tianqi et al. "The optimization method with segmenting iteration strategy for a long-wavelength infrared metalens" . | OPTICS COMMUNICATIONS 546 (2023) . |
| APA | Gu, Tianqi , Cai, Hangbin , Xu, Yongjia , Tang, Dawei , Luo, Tianzhi . The optimization method with segmenting iteration strategy for a long-wavelength infrared metalens . | OPTICS COMMUNICATIONS , 2023 , 546 . |
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To address the limitation of existing excavator optimization methods, which primarily focus on the force performance while neglecting energy consumption and fail to realize environmentally friendly and low-carbon designs, this paper proposes a new multi-objective collaborative optimization method for an excavator to reduce energy consumption during the working process while maintaining optimal performance. By formulating a mathematical model that quantifies the energy consumption during the working process, this paper optimizes the working conditions by analyzing the energy consumption characteristics under typical working conditions. To overcome the limitation of existing linear weighting methods in multi-objective optimization, such as imbalanced optimization quality among sub-objectives, this paper proposes a new modeling approach based on the loss degree of sub-objectives. A multi-objective collaborative optimization model for the excavator with reduced energy consumption is established, and a corresponding multi-objective collaborative optimization algorithm is developed and applied to achieve optimal solutions for sub-objectives. The optimization results demonstrate that applying the new multi-objective collaborative optimization method to the excavator achieves better optimization quality than traditional methods. It also provides a more balanced improvement in the optimization values of each sub-objective, resulting in a significant reduction in the energy consumption of the excavator during operation.
Keyword ：
energy consumption modeling energy consumption modeling energy-saving energy-saving excavator excavator excavator working performance excavator working performance multiobjective optimization multiobjective optimization
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| GB/T 7714 | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong et al. A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction [J]. | ENERGIES , 2023 , 16 (20) . |
| MLA | Lu, Zhe et al. "A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction" . | ENERGIES 16 . 20 (2023) . |
| APA | Lu, Zhe , Lin, Shuwen , Chen, Jianxiong , Gu, Tianqi , Xie, Yu . A Multi-Objective Collaborative Optimization Method for the Excavator Working Device to Support Energy Consumption Reduction . | ENERGIES , 2023 , 16 (20) . |
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本发明提供了一种基于微尺寸结构优化的多子镜阵列成像元件设计，目的是解决基于几何相位原理的超透镜存在转换效率低，优化设计耗时等问题。该元件包括多个子镜，每个子镜包括多个硅椭圆柱和氟化钙基底，其基本内容为结合几何相位原理和等效介质理论设计出了一种能够在中红外波段实现优良聚焦性能的超透镜阵列成像元件，运用模拟退火算法对微纳结构进行微尺寸优化，光斑的中心场强提高了约8%。本发明有助于实现光学透镜的微型化，对光学系统的小型化发展具有重要的应用价值。
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| GB/T 7714 | 顾天奇 , 高翔 , 郭子明 et al. 基于微尺寸结构优化的多子镜阵列成像元件设计方法 : CN202111571384.9[P]. | 2021-12-21 00:00:00 . |
| MLA | 顾天奇 et al. "基于微尺寸结构优化的多子镜阵列成像元件设计方法" : CN202111571384.9. | 2021-12-21 00:00:00 . |
| APA | 顾天奇 , 高翔 , 郭子明 , 蔡航斌 . 基于微尺寸结构优化的多子镜阵列成像元件设计方法 : CN202111571384.9. | 2021-12-21 00:00:00 . |
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Abstract ：
In the past few decades, there has been significant progress made in metasurfaces and integrated and miniatur-ized optical devices. As one of the most prominent applications of metasurfaces, the metalens is the subject of significant research. In this paper, for achieving better focusing performance of the initial metalens designed by the Pancharatnam-Berry (PB) phase, a concept of micro-dimensional oscillation is proposed to optimize the geomet-ric parameters of nanopillars. A strategy of grouping iteration is proposed to reduce the loss rate and computational effort in a holistic way. Its essence is to divide an extremely large-scale optimization space into many overlapping groups. Meanwhile, an improved genetic-simulated annealing (IGSA) algorithm is presented for the optimal solution of each group. By introducing the adaptive crossover and mutation probabilities in traditional genetic algorithms, the IGSA algorithm has both strong global searching capability and excellent local searching capability. After optimization, the maximum field intensity of the central hot spot can be increased by about 8% compared to the initial metalens. Moreover, the field intensity of the side lobes around the hot spot is almost constant, and the central hot spot increases, which provides a potential for the realization of high imaging contrast.(c) 2022 Optica Publishing Group
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| GB/T 7714 | Gu, T. I. A. N. Q. I. , Gao, X. I. A. N. G. , Tang, D. A. W. E., I et al. Micro-dimensional oscillation-based optimization for a dielectric metalens in the mid-infrared [J]. | APPLIED OPTICS , 2022 , 61 (32) : 9324-9333 . |
| MLA | Gu, T. I. A. N. Q. I. et al. "Micro-dimensional oscillation-based optimization for a dielectric metalens in the mid-infrared" . | APPLIED OPTICS 61 . 32 (2022) : 9324-9333 . |
| APA | Gu, T. I. A. N. Q. I. , Gao, X. I. A. N. G. , Tang, D. A. W. E., I , Lin, S. H. U. W. E. N. , Fang, B. I. N. G. . Micro-dimensional oscillation-based optimization for a dielectric metalens in the mid-infrared . | APPLIED OPTICS , 2022 , 61 (32) , 9324-9333 . |
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In the surface profile analysis, there are often a few observations that contain outliers. Due to the existence of outliers, the application of non-robust reconstruction algorithms for measurement data will become a huge problem because these methods are often sensitive to outliers and the approximation effectiveness will be greatly aggravated. In view of this, this paper presents a novel angle-based moving total least squares reconstruction method, to the best of our knowledge, that applies two-step pre-treatment to handle outliers. The first step is an abnormal point detection process that characterizes the geometric features of discrete points in the support domain through a new angle-based parameter constructed by total least square. Then, the point with the largest anomaly degree is removed, and a relevant weight function is defined to adjust the weights of the remaining points. After pretreatment, the final estimates are calculated by weighted total least squares (WTLS) based on the compact weight function. The detection and removal of outliers are automatic, and there is no need to set a threshold value artificially, which effectively avoids the adverse impacts of human operation. Numerical simulations and experiments verify the applicability of the proposed algorithm as well as its accuracy and robustness. (C) 2022 Optica Publishing Group
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| GB/T 7714 | Gu, Tianqi , Xiong, Cui , Tang, Dawei et al. Profile analysis with reconstruction robustness for measurement data subject to outliers [J]. | APPLIED OPTICS , 2022 , 61 (13) : 3777-3785 . |
| MLA | Gu, Tianqi et al. "Profile analysis with reconstruction robustness for measurement data subject to outliers" . | APPLIED OPTICS 61 . 13 (2022) : 3777-3785 . |
| APA | Gu, Tianqi , Xiong, Cui , Tang, Dawei , Chen, Jianxiong , Lin, Shuwen . Profile analysis with reconstruction robustness for measurement data subject to outliers . | APPLIED OPTICS , 2022 , 61 (13) , 3777-3785 . |
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