期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Metamaterials: Reshape and Rethink 被引量:2
1
作者 Ruopeng Liu chunlin ji +1 位作者 Zhiya Zhao Tian Zhou 《Engineering》 SCIE EI 2015年第2期179-184,共6页
Metamaterials are composite materials whose material properties(acoustic, electrical, magnetic, or optical, etc.) are determined by their constitutive structural materials, especially the unit cells. The development o... Metamaterials are composite materials whose material properties(acoustic, electrical, magnetic, or optical, etc.) are determined by their constitutive structural materials, especially the unit cells. The development of metamaterials continues to redefine the boundaries of materials science. In the field of electromagnetic research and beyond, these materials offer excellent design flexibility with their customized properties and their tunability under external stimuli. In this paper, we first provide a literature review of metamaterials with a focus on the technology and its evolution. We then discuss steps in the industrialization process and share our own experience. 展开更多
关键词 METAMATERIALS metasurface smart structure metadevices INDUSTRIALIZATION
在线阅读 下载PDF
Blending Sensor Scheduling Strategy with Particle Filter to Track a Smart Target 被引量:6
2
作者 Bin LIU chunlin ji +1 位作者 Yangyang ZHANG Chengpeng HAO 《Wireless Sensor Network》 2009年第4期300-305,共6页
We discuss blending sensor scheduling strategies with particle filtering (PF) methods to deal with the prob-lem of tracking a ‘smart’ target, that is, a target being able to be aware it is being tracked and act in a... We discuss blending sensor scheduling strategies with particle filtering (PF) methods to deal with the prob-lem of tracking a ‘smart’ target, that is, a target being able to be aware it is being tracked and act in a manner that makes the future track more difficult. We concern here how to accurately track the target with a care on concealing the observer to a possible extent. We propose a PF method, which is tailored to mix a sensor scheduling technique, called covariance control, within its framework. A Rao-blackwellised unscented Kal-man filter (UKF) is used to produce proposal distributions for the PF method, making it more robust and computationally efficient. We show that the proposed method can balance the tracking filter performance with the observer’s concealment. 展开更多
关键词 PARTICLE Filter Sensor Scheduling SMART TARGET Tracking
在线阅读 下载PDF
Whispering Gallery Modes Formed by Scattering of an Electromagnetic Plane Wave by Two Cylinders
3
作者 Arnold Abramov Yutao Yue +4 位作者 chunlin ji Ruopeng Liu Xue Li Juehui Zhou Alexander Kostikov 《Journal of Applied Mathematics and Physics》 2017年第4期785-791,共7页
We report the effect of scattering of electromagnetic plane waves by two cylinders on whispering gallery mode (WGM) formation in a cylinder. WGM can occur because of the presence of additional cylinder scatterers at s... We report the effect of scattering of electromagnetic plane waves by two cylinders on whispering gallery mode (WGM) formation in a cylinder. WGM can occur because of the presence of additional cylinder scatterers at specific location, while WGMs can only form in a single cylinder for specific cylinder radius and/or wavelength values, the matching accuracy required would be much greater than that required in our model for the additional cylinders locations. Analysis of the general solution to the problem showed that the effect can be explained by the interference of waves scattered by additional cylinders and incident on the main cylinder. 展开更多
关键词 SCATTERING WAVE CYLINDER WGM
在线阅读 下载PDF
High-dimensional Bayesian optimization for metamaterial design
4
作者 Zhichao Tian Yang Yang +5 位作者 Sui Zhou Tian Zhou Ke Deng chunlin ji Yejun He Jun S.Liu 《Materials Genome Engineering Advances》 2024年第4期44-58,共15页
Metamaterial design,encompassing both microstructure topology selection and geometric parameter optimization,constitutes a high-dimensional optimization problem,with computationally expensive and time-consuming design... Metamaterial design,encompassing both microstructure topology selection and geometric parameter optimization,constitutes a high-dimensional optimization problem,with computationally expensive and time-consuming design evaluations.Bayesian optimization(BO)offers a promising approach for black-box optimization involved in various material designs,and this work presents several advanced techniques to adapt BO to address the challenges associated with metamaterial design.First,variational autoencoders(VAEs)are employed for efficient dimensionality reduction,mapping complex,high-dimensional metamaterial microstructures into a compact latent space.Second,mutual information maximization is incorporated into the VAE to enhance the quality of the learned latent space,ensuring that the most relevant features for optimization are retained.Third,trust region-based Bayesian optimization(TuRBO)dynamically adjusts local search regions,ensuring stability and convergence in high-dimensional spaces.The proposed techniques are well incorporated with conventional Gaussian processes(GP)-based BO framework.We applied the proposed method for the design of electromagnetic metamaterial microstructures.Experimental results show that we achieve a significantly high probability of finding the ground-truth topology types and their geometric parameters,leading to high accuracy in matching the design target.Moreover,our approach demonstrates significant time efficiency compared with traditional design methods. 展开更多
关键词 high-dimensional bayesian optimization metamaterial design mutual information maximization surrogate modeling trust region bayesian optimization variational autoencoders
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部