IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献

Application of the Born Approximation for Modeling EM Effects of Moving Materials in COMSOL Multiphysics Born近似在COMSOL多物理场中运动材料电磁效应建模中的应用

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-02-10 DOI: 10.1109/JMMCT.2026.3663392

Kirill Zeyde;Mirco Raffetto

引用次数: 0

Statistical Characterization of Electromagnetic Fields Scattered by Poisson Point Process Distributed PEC Cylinders 泊松点过程分布PEC圆柱体散射电磁场的统计特性

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-19 DOI: 10.1109/JMMCT.2026.3655145

Srikumar Sandeep;Gabriele Gradoni

{"title":"Statistical Characterization of Electromagnetic Fields Scattered by Poisson Point Process Distributed PEC Cylinders","authors":"Srikumar Sandeep;Gabriele Gradoni","doi":"10.1109/JMMCT.2026.3655145","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3655145","url":null,"abstract":"This paper presents an efficient semi-analytical method for computing the electromagnetic field scattered by multiple infinitely long, perfectly electrically conducting (PEC) cylinders distributed at arbitrary locations and excited by either a plane wave or electric line sources. The proposed approach leverages the cylindrical wave expansion of electromagnetic fields combined with the translation-addition theorem of the Bessel and Hankel functions to rigorously account for multiple scattering interactions. The method exhibits high numerical stability and computational efficiency, making it suitable for large-scale configurations and Monte-Carlo simulations. The proposed method is validated against full-wave simulations, demonstrating excellent agreement and significant computational advantages.We utilize the developed method to investigate in detail the statistics of the field scattered by random collection of cylinders, whose positions are distributed as per a Poisson point process. The scattered electric field's real and imaginary parts follow a jointly Gaussian distribution. The variation of the statistical parameters as a function of cylinder radius and incident wave direction is examined. Finally, we apply the formulation to a 3GPP channel communication problem.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"78-91"},"PeriodicalIF":1.5,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175929","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

All-Metallic Orbital Angular Momentum Beam Generator for Future High-Power Microwave Applications 未来高功率微波应用的全金属轨道角动量光束发生器

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-19 DOI: 10.1109/JMMCT.2026.3655953

Yuvraj B. Dhanade;Amalendu Patnaik

引用次数: 0

An ADI–SBTD Technique Free of CFL Stability Condition for Transient Analysis of Coaxial–TGVs in 3D Integration 无CFL稳定条件的ADI-SBTD技术用于三维集成中同轴- tgv的瞬态分析

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-12 DOI: 10.1109/JMMCT.2026.3652725

K. Madhu Kiran;Rohit Dhiman

{"title":"An ADI–SBTD Technique Free of CFL Stability Condition for Transient Analysis of Coaxial–TGVs in 3D Integration","authors":"K. Madhu Kiran;Rohit Dhiman","doi":"10.1109/JMMCT.2026.3652725","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3652725","url":null,"abstract":"This paper presents an alternating direction implicit – sampling-biorthogonal time-domain (ADI–SBTD) based formulation, free of the Courant-Friedrichs-Lewy stability condition, for accurate and efficient characterization of the transient analysis of coaxial through-glass vias (C-TGVs). Unlike traditional finite-difference time-domain (FDTD) algorithm, multi-resolution time-domain (MRTD), and sampling biorthogonal time-domain (SBTD) methods, the ADI–SBTD technique retains unconditional stability, thus enabling reliable transient simulations at significantly larger time steps. This leads to a substantial reduction in computational effort without compromising accuracy. The method is exhaustively validated against both the SPICE simulations and the SBTD approach, demonstrating excellent agreement with an average error of less than 1% in the several key performance parameters for examining the transient crosstalk effects in C-TGVs. Comparative studies demonstrate that the ADI-SBTD computational framework achieves accuracy at par with both the SBTD and SPICE-based results, thus confirming its reliability and effectiveness for high-fidelity signal analysis in three-dimensional (3D) integrated systems. Moreover, this approach exhibits superior computational efficiency than the SBTD, thus making it a practical solution for addressing the issues of electromagnetic interference and electromagnetic compatibility in 3D integration.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"100-112"},"PeriodicalIF":1.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175822","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 Microwave Propagation Properties of Generalized Anisotropic Composite 广义各向异性复合材料微波传播特性建模

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-12 DOI: 10.1109/JMMCT.2026.3652145

Changyou Li;Feiwu He;Jingyi Hao

{"title":"Modeling of Microwave Propagation Properties of Generalized Anisotropic Composite","authors":"Changyou Li;Feiwu He;Jingyi Hao","doi":"10.1109/JMMCT.2026.3652145","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3652145","url":null,"abstract":"A highly accurate and computationally efficient large-scale model is proposed here for generalized anisotropic composite. Two dimensional obliquely incident plane wave is considered. Materials in all layers can be lossy or lossless generalized anisotropic. Maxwell's equations are first reformulated to yield a matrix form depending on four unknown transverse field components being tangential to the layer interface. A PQ decomposition of the coefficient matrix produces four eigenvalues which represent the transverse dependence of forward and backward propagating waves along the normal direction of the layer interface. Layer S-matrices are then derived for describing wave propagation from one layer to another. The full S-matrix for the whole composite is produced via cascading the layer S-matrices from the top layer to the bottom one. It relates the incident wave to the transmitted and reflected waves. Reflection and transmission coefficients of co- and cross-polarized waves are then obtained. Perfect electric conductor boundary condition is integrated into the multi-layer composite via modification of layer S-matrix for the first time. Fields in the composite are constructed via layer S-matrices.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"68-77"},"PeriodicalIF":1.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082142","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

A Multilevel Fast High Frequency Scattering Method From Electrically Large Multi-Layer Coated Scatterers 电大型多层涂覆散射体的多能级快速高频散射方法

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-03-11 DOI: 10.1109/JMMCT.2026.3673131

Han Kun Ma;Yu Mao Wu

{"title":"A Multilevel Fast High Frequency Scattering Method From Electrically Large Multi-Layer Coated Scatterers","authors":"Han Kun Ma;Yu Mao Wu","doi":"10.1109/JMMCT.2026.3673131","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3673131","url":null,"abstract":"A multilevel fast high frequency (MLFHF) scattering method from multi-layer coated scatterers is presented. The wideband and wide angle radar cross section (RCS) analysis of thin multi-layer coated scatterers requires dense sampling in frequency angle space, making accurate and efficient modeling of coating-induced multiple reflections challenging in practice. These coating effects are modeled by a branchwise generalized equivalent reflection (GER) embedded in a surface current formulation in this work. Multilevel schemes then reduce the computational cost by interpolating scattered fields from sparse samples, but their accuracy is limited by phase-reference misalignment. On wavelength-scale quadratic patches, the region-center reference can deviate from branch-dependent stationary-phase centers, causing interpolation errors and oversampling. To address this, a physics-guided equivalent phase compensation (EPC) scheme is developed that selects branchwise equivalent phase centers from relevant critical points and forms a coherent phase reference. Numerical examples demonstrate accurate wideband and wide angle RCS prediction for five-layer coated scatterers with electrical sizes up to 1,167<inline-formula><tex-math>$lambda$</tex-math></inline-formula>. At comparable accuracy, the MLFHF–EPC framework achieves a speedup factor of 6.79 over conventional multilevel methods.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"135-145"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665513","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

A Fast Electromagnetic Forward Solver With Physics-Constrained Deep Image Prior 具有物理约束深度图像先验的快速电磁正演求解器

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-03-20 DOI: 10.1109/JMMCT.2026.3695054

Min Jiang;Qingtao Sun;Xiaochun Li;Qing Huo Liu

{"title":"A Fast Electromagnetic Forward Solver With Physics-Constrained Deep Image Prior","authors":"Min Jiang;Qingtao Sun;Xiaochun Li;Qing Huo Liu","doi":"10.1109/JMMCT.2026.3695054","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3695054","url":null,"abstract":"Deep-learning-based electromagnetic solvers are often constrained by their reliance on large training datasets and the challenge of maintaining physical consistency. This paper presents a physics-constrained deep image prior (PcDIP) framework for electromagnetic forward modeling that leverages low-resolution pre-computed field distributions. The method embeds discretized governing equations into the loss function, enabling physics-consistent field reconstruction through unsupervised optimization. A dual-channel architecture is employed to represent the real and imaginary components of complex fields, and a residual-based stopping criterion is introduced to ensure automatic and stable convergence. Simulation experiments involving scatterers with a wide range of material properties demonstrate the effectiveness of the proposed framework for forward modeling of scattering problems. The generalization capability of PcDIP is further validated using two realistic models. Compared with the previous DIP-based forward modeling approach and conventional iterative solvers, PcDIP achieves higher computational accuracy and faster convergence. These results indicate that the proposed framework provides a practical and efficient solution for rapid electromagnetic forward modeling in real-world applications.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"269-275"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148171774","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

Solving Maxwell's Equations Through Message Passing on Graphs 通过图上的消息传递求解麦克斯韦方程组

IF 2.1

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-07-01 DOI: 10.1109/JMMCT.2026.3708995

Stefanos Bakirtzis;Marco Fiore;Jie Zhang;Ian Wassell

{"title":"Solving Maxwell's Equations Through Message Passing on Graphs","authors":"Stefanos Bakirtzis;Marco Fiore;Jie Zhang;Ian Wassell","doi":"10.1109/JMMCT.2026.3708995","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3708995","url":null,"abstract":"Computational electromagnetics (CEM) is employed to numerically solve Maxwell's equations, and it has very important and practical applications across a broad range of disciplines, including biomedical engineering, nanophotonics, wireless communications, and electrodynamics. The main limitation of existing CEM methods is that they are computationally demanding. Our work introduces a leap forward in the integration of numerical modeling with deep learning frameworks by proposing an original solution of Maxwell's equations that is grounded on message passing on graphs. Specifically, we demonstrate that the update equations derived by discretizing Maxwell's partial differential equations can be innately expressed as a two-layer graph neural network (GNN) with static and pre-determined edge weights. Given this intuition, a straightforward way to numerically solve Maxwell's equations entails simple message passing between the graph's nodes, yielding a significant computational time gain, while preserving the same accuracy as conventional transient CEM methods. Ultimately, our work supports the efficient and precise emulation of electromagnetic wave propagation with GNNs, and more importantly, we anticipate that a similar treatment can be generalized to systems of partial differential equations arising in other scientific disciplines.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"400-412"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626985","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

A Combined-Field Boundary Element Formulation for the Electromagnetic Modeling of Multiscale Interconnects and Integrated Passive Components From DC to Millimeter-Wave Frequencies 直流至毫米波多尺度互连及集成无源元件电磁建模的联合场边界元公式

IF 2.1

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-07-22 DOI: 10.1109/JMMCT.2026.3715919

Shashwat Sharma

{"title":"A Combined-Field Boundary Element Formulation for the Electromagnetic Modeling of Multiscale Interconnects and Integrated Passive Components From DC to Millimeter-Wave Frequencies","authors":"Shashwat Sharma","doi":"10.1109/JMMCT.2026.3715919","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3715919","url":null,"abstract":"Full-wave electromagnetic simulation is essential in the semiconductor and packaging industry, for the design and signal integrity analysis of high-speed interconnects and integrated passive components. These applications often entail broadband simulations of multiscale structures from DC to millimeter-wave frequencies, which requires the accurate modeling of conductor losses and the skin effect, and poses a substantial challenge to computational techniques. The boundary element method is an appealing candidate to address this challenge, because it offers a two-dimensional representation of a three-dimensional problem using a surface integral formulation of Maxwell's equations. However, this often comes at the cost of ill-conditioned matrices at low frequencies and for multiscale structures. In this work, a new boundary element formulation is developed, where the underlying surface integral equations are inherently valid from statics to full-wave electrodynamics. A discretization scheme is proposed which leads to a system of equations that (a) is immune to low-frequency breakdown and solvable from exactly DC to millimeter-wave frequencies, even for multiscale geometries, (b) models the skin effect rigorously, and (c) does not require a barycentric refinement or intermediate matrix factorization, unlike existing methods. Realistic and representative numerical examples drawn from the target application areas demonstrate the accuracy and effectiveness of the proposed method.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"437-452"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747294","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

Transient Modeling of High-Speed Links Based on GAT-DNN-LSTM Hybrid Neural Network 基于GAT-DNN-LSTM混合神经网络的高速链路瞬态建模

IF 2.1

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-07-23 DOI: 10.1109/JMMCT.2026.3716444

Feng You;Yinhang Zhang;Hongyang Yue;Yongzheng Zhan

{"title":"Transient Modeling of High-Speed Links Based on GAT-DNN-LSTM Hybrid Neural Network","authors":"Feng You;Yinhang Zhang;Hongyang Yue;Yongzheng Zhan","doi":"10.1109/JMMCT.2026.3716444","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3716444","url":null,"abstract":"With the rapid advancement of high-speed digital communication technology, signal integrity (SI) issues in high-speed links have become increasingly prominent. To address the high computational complexity and low simulation efficiency of traditional electromagnetic simulation methods in multi-topology and multi-parameter scenarios, this paper proposes a surrogate modeling approach based on a hybrid model integrating Graph Attention Networks (GAT), Deep Neural Networks (DNN), and Long Short-Term Memory (LSTM) networks. First, this method utilizes GAT to extract global features from the topological structures and physical parameters of key link components, including drivers, packages, and channels. Subsequently, the DNN module performs nonlinear fusion of global features from the three components, forming a unified global representation that characterizes the electrical properties of the entire high-speed link. Finally, the global representation of the link is input into the LSTM network alongside the differential excitation waveform, enabling high-precision prediction of the transient differential response for high-speed links. Experimental results demonstrate that the proposed model achieves prediction accuracy comparable to traditional circuit simulation methods while significantly reducing computational cost. Compared with existing machine learning-based surrogate models, this approach effectively alleviates the limitations of fixed topologies and parameters, providing a highly accurate, efficient, and scalable modeling pathway for SI analysis, design space exploration, and simulation acceleration in high-speed links.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"425-436"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747046","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