IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献_第10页

Manifold Harmonics and Their Application to Computational Electromagnetics 流形谐波及其在计算电磁学中的应用

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-08-17 DOI: 10.1109/JMMCT.2022.3199612

Abdel M. A. Alsnayyan;Leo Kempel;Shanker Balasubramaniam

引用次数: 0

A Hybrid EM/QM Framework Based on the ADHIE-FDTD Method for the Modeling of Nanowires 基于ADHIE-FDTD方法的纳米线混合EM/QM框架建模

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-08-16 DOI: 10.1109/JMMCT.2022.3198750

Pieter Decleer;Dries Vande Ginste

{"title":"A Hybrid EM/QM Framework Based on the ADHIE-FDTD Method for the Modeling of Nanowires","authors":"Pieter Decleer;Dries Vande Ginste","doi":"10.1109/JMMCT.2022.3198750","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3198750","url":null,"abstract":"A new modeling formalism to compute the time-dependent behavior of combined electromagnetic (EM) and quantum mechanical (QM) systems is proposed. The method is geared towards highly multiscale geometries, which is vital for the future design of nanoelectronic devices. The advocated multiphysics modeling formalism leverages the alternating-direction hybrid implicit-explicit (ADHIE) finite-difference time-domain (FDTD) method for the EM fields and is combined with a novel ADHIE method for the EM potentials. Additionally, we tackle the QM problem using a new split real and imaginary part formulation that includes higher-order spatial differences and arbitrary time-dependent EM potentials. The validity of the proposed formalism is theoretically discussed by deriving its stability condition and calculating the numerical dispersion relation. Furthermore, the applicability of our modeling approach is proven through several numerical experiments, including a single-particle Maxwell-Schrödinger (MS) system as well as a many-particle Maxwell-Kohn-Sham (MKS) system within the time-dependent density-functional theory (TDDFT) framework. These experiments confirm that the novel ADHIE method drastically decreases the computation time while retaining the accuracy, leading to efficient and accurate simulations of light-matter interactions in multiscale nanoelectronic devices.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950265","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

Space-Mapping Based Automatic Design of SIW-Based Directional Coupler With Arbitrary Power Ratio 基于空间映射的任意功率比siw定向耦合器自动设计

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-07-29 DOI: 10.1109/JMMCT.2022.3194934

Tianrui Qiao;Jun Zhang;Qingsha S. Cheng

引用次数: 0

FDTD Method With Explicit Non-Iterative and Second Order Treatment for Kerr Nonlinearities 克尔非线性的显式非迭代二阶处理FDTD方法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-07-22 DOI: 10.1109/JMMCT.2022.3193051

Jinjie Liu;Jason Cornelius;Moysey Brio

引用次数: 2

Direct Computation of the PEC Body of Revolution Modal Green Function for the Electric Field Integral Equation 电场积分方程中PEC旋转体模态格林函数的直接计算

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-07-15 DOI: 10.1109/JMMCT.2022.3190789

Fahimeh Sepehripour;Martijn C. van Beurden;Bastiaan P. de Hon

引用次数: 2

An Effective Global Approach for Assessment of Decoupling Capacitors on Mixed Planar and Transmission Line PDNs 混合平面和传输线pdn去耦电容的有效全局评估方法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-07-11 DOI: 10.1109/JMMCT.2022.3189229

Ihsan Erdin;Ramachandra Achar

{"title":"An Effective Global Approach for Assessment of Decoupling Capacitors on Mixed Planar and Transmission Line PDNs","authors":"Ihsan Erdin;Ramachandra Achar","doi":"10.1109/JMMCT.2022.3189229","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3189229","url":null,"abstract":"A global analysis technique is proposed to calculate the effectiveness of decoupling capacitors on practical power delivery networks (PDN). The proposed method is based on separation of a PDN into its power transmission lines (PTL) and non-PTL sections. The PTL section consists of circuit components with the highest impact on the impedance of the specified power pin, including the pin itself, the nearest capacitor and segments of PTL on both sides of the capacitor. The rest of the PDN makes up the non-PTL section which could be composed of planar shapes, PTLs or a mixture of both. The non-PTL section is characterized as a distributed circuit, preferably using an electromagnetic (EM) simulator. The effectiveness of the capacitor is measured by the self-impedance of the pin which depends on the distance between them. The pin impedance is cast in a transcendental equation in the PTL section including the impedance of the non-PTL section. The optimal placement of the capacitor is calculated using an iterative approach. With the proposed method, the use of an EM simulation at each step of the iteration is eliminated, significantly speeding up the computation process. The proposed method is validated on real-life design cases.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950339","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

Modeling of Resonant Tunneling Diode Oscillators Based on the Time-Domain Boundary Element Method 基于时域边界元法的隧道二极管谐振振荡器建模

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-06-28 DOI: 10.1109/JMMCT.2022.3187022

Shakirudeen O. Lasisi;Trevor M. Benson;Mark T. Greenaway;Gabriele Gradoni;Kristof Cools

{"title":"Modeling of Resonant Tunneling Diode Oscillators Based on the Time-Domain Boundary Element Method","authors":"Shakirudeen O. Lasisi;Trevor M. Benson;Mark T. Greenaway;Gabriele Gradoni;Kristof Cools","doi":"10.1109/JMMCT.2022.3187022","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3187022","url":null,"abstract":"We demonstrate how the coupling of a full-wave time-domain boundary element method (BEM) solver with a circuit solver can be used to model 1) the generation of high frequency oscillations in resonant tunneling diode (RTD) oscillators, and 2) the mutual coupling and synchronization of non-identical RTDs with significant differences in frequencies to achieve coherent power combination. Numerical simulations show a combined output power of up to 3.7 times a single oscillator in synchronized devices. The non-differential conductance of the RTD is modeled as a lumped component with a non-linear current-voltage relationship. The lumped element is coupled to the radiating structure using a finite-gap model in a consistent and discretisation independent manner. The resulting circuit equations are solved simultaneously and consistently with time-domain electric field integral equations that model the transient scattering of electromagnetic (EM) fields from conducting surfaces that make up the device. This paper introduces three novel elements: (i) the application of a mesh independent feed line to the modelling of feed lines of RTD devices, (ii) the coupling of the radiating system to a strongly non-linear component with negative differential resistance, and (iii) the verification of this model with circuit models where applicable and against the experimental observation of synchronisation when two RTDs are placed in close proximity. These three elements provide a methodology that create the capacity to model RTD sources and related technology.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950337","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

Efficient Numerical Evaluation of Singular Integrals in Volume Integral Equations 体积积分方程中奇异积分的有效数值计算

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-06-23 DOI: 10.1109/JMMCT.2022.3185531

Cedric Münger;Kristof Cools

{"title":"Efficient Numerical Evaluation of Singular Integrals in Volume Integral Equations","authors":"Cedric Münger;Kristof Cools","doi":"10.1109/JMMCT.2022.3185531","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3185531","url":null,"abstract":"We present a method for the numerical evaluation of 6D and 5D singular integrals appearing in Volume Integral Equations. It is an extension of the Sauter-Schwab/Taylor-Duffy strategy for singular triangle-triangle interaction integrals to singular tetrahedron-tetrahedron and triangle-tetrahedron interaction integrals. The general advantages of these kind of quadrature strategy is that they allow the use of different kinds of kernel and basis functions. They also work on curvilinear domains. They are all based on relative coordinates tranformation and splitting the integration domain into subdomains for which quadrature rules can be constructed. We show how to build these tensor-product quadrature rules in 6D and 5D and further show how to improve their efficiency by using quadrature rules defined over 2D, 3D and 4D simplices. Compared to the existing approach, which computes the integral over the subdomains as a sequence of 1D integrations, significant speedup can be achieved. The accuracy and convergence properties of the method are demonstrated by numerical experiments for 5D and 6D singular integrals. Additionally, we applied the new quadrature approach to the triangle-triangle interaction integrals appearing in Surface Integral Equations.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950338","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

Error-Controllable Scheme for the LOD-FDTD Method LOD-FDTD方法的误差控制方案

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-06-10 DOI: 10.1109/JMMCT.2022.3181568

Tasuku Nakazawa;Di Wu;Seiya Kishimoto;Jun Shibayama;Junji Yamauchi;Shinichiro Ohnuki

引用次数: 1

RCS Optimization of Surface Geometry With Physics Inspired Neural Networks 基于物理启发神经网络的曲面几何RCS优化

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-06-10 DOI: 10.1109/JMMCT.2022.3181606

Xu Zhang;Jiaxin Wan;Zhuoyang Liu;Feng Xu

{"title":"RCS Optimization of Surface Geometry With Physics Inspired Neural Networks","authors":"Xu Zhang;Jiaxin Wan;Zhuoyang Liu;Feng Xu","doi":"10.1109/JMMCT.2022.3181606","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3181606","url":null,"abstract":"Radar cross section (RCS) optimization is important to object geometry design, for example seeking a low-scattering structure. However, it is difficult to obtain a geometry with particular RCS quickly due to the complex geometry, low-efficient RCS calculation, or lack of effective automatic optimization methods. In this paper, a RCS optimization method is proposed based on physics inspired neural network named electromagnetic fully connected neural network (EM-FCNN). It employs the principles of MoM to transform the slow numerical calculation method into the fast neural network calculation. To reduce the complexity of surface geometry characterization, a low-dimensional surface hyperparametric modulation method (SHMM) is formulated to characterize object surfaces by introducing a modulation factor into rough surfaces. In this regard, the ultra-high-dimensional target surfaces can be characterized by only a few hyperparameters. To accelerate the optimization process, a dimensional reduction optimization algorithm (DROA) is further designed to simplify the multi-dimensional hyperparameters optimization problem to a series of one-dimensional optimization problems. The efficacy of the proposed method is validated with a RCS reduction task of a simplified aircraft model. This is generalized to solve the RCS optimization and it can be used to handle object geometry design for other application areas.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49950262","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