IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献_第8页

Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver 利用ARTEMIS求解器表征微电子电路中的传输线

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-12-12 DOI: 10.1109/JMMCT.2022.3228281

Saurabh S. Sawant;Zhi Yao;Revathi Jambunathan;Andrew Nonaka

{"title":"Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver","authors":"Saurabh S. Sawant;Zhi Yao;Revathi Jambunathan;Andrew Nonaka","doi":"10.1109/JMMCT.2022.3228281","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3228281","url":null,"abstract":"Modeling and characterization of electromagnetic wave interactions with microelectronic devices to derive network parameters has been a widely used practice in the electronic industry. However, as these devices become increasingly miniaturized with finer-scale geometric features, computational tools must make use of manycore/GPU architectures to efficiently resolve length and time scales of interest. This has been the focus of our open-source solver, ARTEMIS (Adaptive mesh Refinement Time-domain ElectrodynaMIcs Solver), which is performant on modern GPU-based supercomputing architectures while being amenable to additional physics coupling. This work demonstrates its use for characterizing network parameters of transmission lines using established techniques. A rigorous verification and validation of the workflow is carried out, followed by its application for analyzing a transmission line on a CMOS chip designed for a photon-detector application. Simulations are performed for millions of timesteps on state-of-the-art GPU resources to resolve nanoscale features at gigahertz frequencies. The network parameters are used to obtain phase delay and characteristic impedance that serve as inputs to SPICE models. The code is demonstrated to exhibit ideal weak scaling efficiency up to 1024 GPUs and 84% efficiency for 2048 GPUs, which underscores its use for network analysis of larger, more complex circuit devices in the future.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49962818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Finite Element-Boundary Element Method Based Simulations of Electromagnetic Railgun in Augmented Configurations 基于有限元-边界元法的电磁轨道炮增强构型仿真

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-11-16 DOI: 10.1109/JMMCT.2022.3222529

S. R. Naga Praneeth;Bhim Singh

{"title":"Finite Element-Boundary Element Method Based Simulations of Electromagnetic Railgun in Augmented Configurations","authors":"S. R. Naga Praneeth;Bhim Singh","doi":"10.1109/JMMCT.2022.3222529","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3222529","url":null,"abstract":"When dealing with electromechanical system modelling, numerical challenges are inevitable. Especially when working with moving conductor problems, such as rotational or linear motors, special care needs to be taken for the air-gap region. Railguns air region is one more addition to this modelling problem. The air region necessitates either remeshing or a custom mesh topology. In addition, the production of air mesh for conductors with complicated shapes has its own difficulties. The air mesh requirement may be reduced by using the finite element-boundary element (FE-BE) technique. Boundary elements for air mesh and finite elements for conductors allow for the creation of models with moving conductors and makes model production easier and quicker. This paper investigates the changes observed in the railgun's electrical and mechanical parameters through the finite element-boundary element simulation approach when the geometry of the augmentation rails in a railgun is changed. Tapering and filleting are two geometry changes implemented on the augmenting rails of an electromagnetic railgun. Designed railgun variants are investigated using LS-Dyna software. A new formulation for breech voltage in augmented electromagnetic railguns is derived to calculate barrel efficiency. Four configurations of augmented electromagnetic railguns are analyzed, emphasizing force profile, inductance gradient, and motional-emf (\u0000<inline-formula><tex-math>$iL^{prime }v$</tex-math></inline-formula>\u0000). One of the new configurations has resulted in an improvement in the force profile during the initial stages of the launch by 8.8%, and the armature's final muzzle velocity has improved by 7%.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Numerical Approach for Evaluating Sommerfeld Integrals Arising in the Construction of Green's Functions for Layered Media 层状介质中格林函数构造中Sommerfeld积分的一种有效数值计算方法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-11-14 DOI: 10.1109/JMMCT.2022.3221835

Ozlem Ozgun;Raj Mittra;Mustafa Kuzuoglu

{"title":"An Efficient Numerical Approach for Evaluating Sommerfeld Integrals Arising in the Construction of Green's Functions for Layered Media","authors":"Ozlem Ozgun;Raj Mittra;Mustafa Kuzuoglu","doi":"10.1109/JMMCT.2022.3221835","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3221835","url":null,"abstract":"This paper presents an approach for evaluating the Sommerfeld integrals in the spectral domain, whose integrands typically show an oscillatory and slowly decaying behavior at high frequencies, e.g., in the mm-wave regime. It is well known that these integrals arise in the representations of the dyadic Green's functions of layered media and efficient computation of these Green's functions is key to rapid CEM modeling of patch antennas and printed circuits designed for 5G applications in the mm-wave range. The underlying concept of the approach is to partition the spectral domain representation of a Green's function into multiple domains and to represent the envelope of the integrand in each domain with a few exponentials such that the integrals in these domains can be evaluated analytically very efficiently and accurately in a numerically stable manner. Additionally, a new interpolation strategy is proposed in this work to decrease the matrix fill time in the MoM solution of the integral equations whose kernels contain Green's functions mentioned above. The performance enhancement realized by using the approaches is demonstrated through several illustrative examples.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics-Based Automatic Recognition of Small Features Located in Highly Similar Structures With Electromagnetic Scattering Data 基于物理的电磁散射数据高度相似结构中的小特征自动识别

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-11-09 DOI: 10.1109/JMMCT.2022.3220716

Zi-Liang Liu;Chao-Fu Wang

{"title":"Physics-Based Automatic Recognition of Small Features Located in Highly Similar Structures With Electromagnetic Scattering Data","authors":"Zi-Liang Liu;Chao-Fu Wang","doi":"10.1109/JMMCT.2022.3220716","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3220716","url":null,"abstract":"A physics-based automatic target recognition (ATR) technique is developed to accurately identify small features located in highly similar structures with electromagnetic (EM) scattering data. Automatic target recognition is important due to its widely practical applications. The traditional ATR is usually based on images produced from EM scattering data and sophisticated algorithms. Wideband angular and frequency sweeps are necessary to generate sufficient EM scattering data to produce images with high resolution for the imagery-based ATR to obtain correct recognition results, especially for multiscale structures with small local features. These seriously limit the efficiency of the imagery-based ATR and its practicability. To implement ATR more efficiently, we turn to the physics-based ATR and employ principal component analysis (PCA). The physics-based ATR with PCA can exactly classify objects of different types with one-frequency scattering data and avoid expensive frequency sweeps. However, the pre-existing average feature center (AFC) criterion model for PCA in the literature can only distinguish objects with significant differences and fails to recognize small features located in highly similar structures. Hence, an improved classification criterion for PCA is proposed to precisely identify highly similar structures with different small features. Some numerical examples illustrate the satisfactory performance of the proposed technique.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Variability in Specific Absorption Rate From Variation in Tissue Properties 组织特性变化引起的比吸收率变异性

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-10-25 DOI: 10.1109/JMMCT.2022.3216642

Khadijeh Masumnia-Bisheh;Cynthia Furse

引用次数: 0

Numerical Simulation and Experiment for the Bottom Boundary of Riprap of Seawall by GPR 海堤抛石底边界探地雷达数值模拟与试验

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-10-19 DOI: 10.1109/JMMCT.2022.3215804

Xiongwu Hu;Bingqing Kong;Xiaoyi Jiang;Guanqun Zhou;Lei Tan;Hu Xu

引用次数: 0

Estimating Fields in Spacecraft Cavities: Experimental Validation and Optimization of Finite-Difference Time-Domain and Power Balance Computational Tools 航天器空腔场估计:时域有限差分和功率平衡计算工具的实验验证与优化

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-10-13 DOI: 10.1109/JMMCT.2022.3211784

Javier Jair Pazos;Matthew C. Miller;Jeff Phillips;Eric Miller;Tim McDonald;Jennifer Kitaygorsky

引用次数: 0

A Machine Learning Generative Method for Automating Antenna Design and Optimization 天线自动设计与优化的机器学习生成方法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-09-30 DOI: 10.1109/JMMCT.2022.3211178

Yang Zhong;Peter Renner;Weiping Dou;Geng Ye;Jiang Zhu;Qing Huo Liu

{"title":"A Machine Learning Generative Method for Automating Antenna Design and Optimization","authors":"Yang Zhong;Peter Renner;Weiping Dou;Geng Ye;Jiang Zhu;Qing Huo Liu","doi":"10.1109/JMMCT.2022.3211178","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3211178","url":null,"abstract":"To facilitate the antenna design with the aid of computer, one of the practices in consumer electronic industry is to model and optimize antenna performances with a simplified antenna geometric scheme. The ease of handling multi-dimensional optimization problems and the less dependence on the engineers' knowledge and experience are the key to achieve the popularity of simulation-driven antenna design and optimization for the industry. In this paper, we introduce a flexible geometric scheme with the concept of mesh network that can form any arbitrary shape by connecting different nodes. For such problems with high dimensional parameters, we propose a machine learning based generative method to assist the searching of optimal solutions. It consists of discriminators and generators. The discriminators are used to predict the performance of geometric models, and the generators to create new candidates that will pass the discriminators. Moreover, an evolutionary criterion approach is proposed for further improving the efficiency of our method. Finally, not only optimal solutions can be found, but also the well trained generators can be used to automate future antenna design and optimization. For a dual resonance antenna design, our proposed method is better than the other mature algorithms.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Two-Dimensional Thermal Diffusion Equation Solver Based on Unstructured Transmission-Line Modelling and Optimal Delaunay Triangular Meshes 基于非结构化输电在线建模和最优Delaunay三角网格的二维热扩散方程求解器

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-09-23 DOI: 10.1109/JMMCT.2022.3209071

Kaiqi Yan;Ana Vukovic;Phillip Sewell;Trevor M. Benson

引用次数: 0

EM Wave Scattering by Random Surfaces With Different Contrast and Large Roughness Heights 不同对比度和大粗糙度高度随机表面的电磁波散射

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-09-07 DOI: 10.1109/JMMCT.2022.3204722

Mohsen Eslami Nazari;Weimin Huang

{"title":"EM Wave Scattering by Random Surfaces With Different Contrast and Large Roughness Heights","authors":"Mohsen Eslami Nazari;Weimin Huang","doi":"10.1109/JMMCT.2022.3204722","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3204722","url":null,"abstract":"A solution for electromagnetic (EM) scattering over a two-dimensional random rough surface (three-dimensional scattering problem) with large roughness height using the generalized functions approach is proposed in this paper. The EM field derivation incorporates rough surface profile with small-slope, a radiation source and involves all scattering orders of the scattered electric field (E-field) for high and moderate contrast media. Subsequently, the first-order scattered E-field is calculated using the Neumann series solution for transverse magnetic (TM) polarization. By considering pulsed dipole antenna and a two-dimensional Gaussian rough surface distribution with different root mean square heights and correlation lengths, the scattered E-field along with the radar cross-section is calculated. Using the result of the method of moments (MoM) as reference, a numerical evaluation of the solution for different roughness heights and contrast media demonstrates that the proposed solution is better than those of the small perturbation method (SPM), Kirchhoff approximation (KA) and small-slope approximation (SSA).","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1