IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献_第5页

Multiconductor SCT-FDTD Modeling of High-Frequency Power System Fault Transients for Electromagnetic Sensing 用于电磁传感的高频电力系统故障瞬态多导体SCT-FDTD建模

IF 2.1

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-09-11 DOI: 10.1109/JMMCT.2026.3733407

Jie Ma;Yanjin Chen;Xueshun Ye;Jun Zhou;Ye Tian;Lianlin Li

{"title":"Multiconductor SCT-FDTD Modeling of High-Frequency Power System Fault Transients for Electromagnetic Sensing","authors":"Jie Ma;Yanjin Chen;Xueshun Ye;Jun Zhou;Ye Tian;Lianlin Li","doi":"10.1109/JMMCT.2026.3733407","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3733407","url":null,"abstract":"High-frequency electromagnetic (EM) transients in power systems have emerged as for noncontact fault monitoring. However, the transient characteristics observed at a given location are jointly determined by the fault excitation and the propagation properties of the power line, which complicates their physical interpretation. This work presents a symmetrical-component-transformation-based finite-difference time-domain (SCT-FDTD) framework for modeling high-frequency single-phase-to-ground (SPG) fault transients in nonuniform multiconductor transmission lines. For cyclically symmetric three-phase transmission lines, the symmetrical component transformation diagonalizes the per-unit-length parameter matrices and converts the coupled phase-domain matrix updates into independent modal-domain updates. An explicit staggered-grid FDTD scheme is then employed to model transient reflection, attenuation, and waveform distortion in transmission lines with spatially varying distributed parameters. Comparisons with the conventional phase-domain FDTD model and an independently implemented Simulink model demonstrate good agreement in the principal time- and frequency-domain response characteristics. Further parametric studies show that the observed spectrum depends not only on the fault excitation but also on the observation position, the line-parameter values, and their spatial variations. The proposed framework therefore provides a physics-based forward model for analyzing high-frequency power-line transients relevant to EM sensing and supports future development of fault-identification and localization methods.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"527-537"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149131061","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

Propagation of Zero-Frequency Waves in Wireless and Wired Systems 无线和有线系统中零频率波的传播

IF 2.1

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2026-01-01 Epub Date: 2026-07-14 DOI: 10.1109/JMMCT.2026.3713243

José A. Brandão Faria;Ricardo A. Marques Lameirinhas

引用次数: 0

2025 Index IEEE Journal on Multiscale and Multiphysics Computational Techniques Vol. 10 《多尺度和多物理场计算技术》第10卷

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-12-17 DOI: 10.1109/JMMCT.2025.3644832

引用次数: 0

Calculation of Photocarrier Generation From Optical Absorption for Time-Domain Simulation of Optoelectronic Devices 光电器件时域仿真中光吸收产生光载流子的计算

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-12-11 DOI: 10.1109/JMMCT.2025.3643198

Liang Chen;Ming Dong;Ran Zhao;Hakan Bagci

{"title":"Calculation of Photocarrier Generation From Optical Absorption for Time-Domain Simulation of Optoelectronic Devices","authors":"Liang Chen;Ming Dong;Ran Zhao;Hakan Bagci","doi":"10.1109/JMMCT.2025.3643198","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3643198","url":null,"abstract":"Photocarrier generation rate in optoelectronic materials is often calculated using the Poynting vector in the frequency domain. However, this approach is not accurate in time-domain simulations of photoconductive devices because the instantaneous Poynting vector does not distinguish between power flux densities of optical and low-frequency electromagnetic fields. The latter is generated by photocurrents and is not supposed to contribute to the photocarrier generation since the corresponding photon energy is smaller than the bandgap energy of the optoelectronic material. This work proposes an optical absorption-based model to accurately calculate the generation rate in time-domain simulations. The proposed approach considers the material dispersion near the optical frequency corresponding to the bandgap energy of the optoelectronic material and calculates the instantaneous optical absorption from the polarization current density associated with this dispersion model. Numerical examples show that the proposed method is more accurate than the Poynting vector-based approach in calculating the instantaneous optical absorption. The method is further validated against experimental results via simulations of a photoconductive device, where the Poynting vector-based approach results in divergent carrier densities when the low-frequency fields are strong.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"113-124"},"PeriodicalIF":1.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175705","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 Electromagnetic Computation Method for High-Density Multilayer Interconnects in Integrated Chips 集成芯片中高密度多层互连的高效电磁计算方法

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-12-10 DOI: 10.1109/JMMCT.2025.3642617

Zheyu Luo;Yumao Wu;Ningsheng Xu;Shaozhi Deng

{"title":"An Efficient Electromagnetic Computation Method for High-Density Multilayer Interconnects in Integrated Chips","authors":"Zheyu Luo;Yumao Wu;Ningsheng Xu;Shaozhi Deng","doi":"10.1109/JMMCT.2025.3642617","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3642617","url":null,"abstract":"An improved method of moments (MoM) based on the augmented electric-field integral equation (A-EFIE) is proposed for efficient electromagnetic (EM) simulation of multilayer interconnects. The A-EFIE overcomes the low-frequency breakdown problem of the electric-field integral equation (EFIE), meeting the EM simulation requirements for interconnects from DC to sub-THz frequencies. The layered medium Green’s function (LMGF) is integrated into the A-EFIE formulation, extending the proposed method to the electromagnetic simulation of high-density multilayer interconnects embedded in dielectric substrates. This work proposes a novel integration of the LMGF into the A-EFIE formulation for lossy conductors, in which both exterior and interior problems are considered. By accurately characterizing conductor losses and skin effects, the proposed method is well-suited for broadband EM simulation of multilayer interconnects in advanced packaging. Compared with the FEM implementation in the HFSS software, the proposed LMGF-based method eliminates the need for meshing stratified dielectric structures in integrated circuits, achieving at least two orders of magnitude reduction in mesh elements. Numerical examples are conducted on different chip-level multilayer interconnects to validate the effectiveness and efficiencies of the proposed method.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"55-67"},"PeriodicalIF":1.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982206","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

Multiphysics Analysis and Simulation of Wireless Passive Temperature and Pressure Sensors for Harsh-Environment Applications 恶劣环境无线无源温度压力传感器的多物理场分析与仿真

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-12-09 DOI: 10.1109/JMMCT.2025.3641976

Yijia Cheng;Yujie Hua;Baiyun Wang;Kang Wang;Wenxuan Tang;Gang Shao;Wei E. I. Sha

{"title":"Multiphysics Analysis and Simulation of Wireless Passive Temperature and Pressure Sensors for Harsh-Environment Applications","authors":"Yijia Cheng;Yujie Hua;Baiyun Wang;Kang Wang;Wenxuan Tang;Gang Shao;Wei E. I. Sha","doi":"10.1109/JMMCT.2025.3641976","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3641976","url":null,"abstract":"Monitoring temperature and pressure in harsh environments is vital for industrial applications. This study presents a comprehensive multiphysics analysis and simulation of wireless passive temperature and pressure sensors, providing a feasible research framework for accurate simulation model development tailored to these devices and applications. The analysis focuses on evaluating the electromagnetic-thermal-mechanical coupling effects and improving the accuracy of sensor modeling under extreme environments. In particular, multiphysics simulations are performed on a pressure sensor that incorporates structural deformations induced by thermal expansion and external pressure. Comparison with available experimental data demonstrates significantly enhanced accuracy compared with conventional simple models, yielding a resonance frequency deviation of 0.32% (vs. 2.65%) and an error in the <inline-formula><tex-math>$S_{11}$</tex-math></inline-formula> parameter estimation of 13.15% (vs. 101.92%) relative to measurements. These findings underscore the importance of accounting for multiphysics coupling in sensor design and provide insights for performance optimization in harsh environments.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"9-21"},"PeriodicalIF":1.5,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830783","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 Hierarchical Cascading Technique With Subpitch Finite Element Decomposition for 2-D Modeling of Acoustic Wave Resonators 基于亚基音有限元分解的层次级联技术在声波谐振器二维建模中的应用

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-11-24 DOI: 10.1109/JMMCT.2025.3636443

Hongliang Li;Julius Koskela;Balam A. Willemsen;Jackson W. Massey

引用次数: 0

Multi-Scale Multi-Physics Imaging of Free-Space Targets With Electromagnetic and Acoustic Data 基于电磁和声学数据的自由空间目标多尺度多物理成像

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-11-17 DOI: 10.1109/JMMCT.2025.3634286

Zhichao Lin;Marco Salucci;Maokun Li;Baozhu Li;Andrea Massa

引用次数: 0

Inverse Design of Ultra-Wideband Frequency Selective Surface Using a Graph Based Conditional Variational Autoencoder Integrated With a Physics Informed Neural Network 基于图的条件变分自编码器与物理信息神经网络的超宽带频率选择面反设计

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-11-06 DOI: 10.1109/JMMCT.2025.3629980

Bharathi V;Krishnamurthy Ramanujam;Parthasarathy Ramanujam

{"title":"Inverse Design of Ultra-Wideband Frequency Selective Surface Using a Graph Based Conditional Variational Autoencoder Integrated With a Physics Informed Neural Network","authors":"Bharathi V;Krishnamurthy Ramanujam;Parthasarathy Ramanujam","doi":"10.1109/JMMCT.2025.3629980","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3629980","url":null,"abstract":"This work proposes the inverse design of bandstop Frequency Selective Surface using a Graph based Conditional Variational Autoencoder (G-CVAE) integrated with a Physics-Informed Neural Network (PINN). This inverse design involves the prediction of FSS geometry that exhibits ultra-wide stopband characteristics. Initially, the graph convolutional network precisely extracts the topological and spatial relationships within the FSS geometrical design. The features of the graph and simulation results of the FSS dataset are used to train the CVAE, which maps the FSS physical structure and its electromagnetic behavior. The trained CVAE predicts the FSS geometries with desired frequency responses, while the PINN is incorporated to ensure physical feasibility. By monitoring the average relative error values, the simulated and predicted transmission coefficients are brought closer to each other. Also, similar approach is followed to enhance the angular stability and to achieve polarization independence in both TE and TM modes. A G-CVAE-PINN is constructed and trained using various random combinations of graph attributes and simulation outcomes, achieving an average inaccuracy of 3%. Further, one of the best designs from the predicted FSS designs is chosen for experimental validation. This predicted and experimentally validated bandstop FSS exhibits wide band rejection of 20 GHz ranging from 8 GHz to 28 GHz. The fabricated design exhibits polarization independence up to 75<inline-formula><tex-math>$^{circ }$</tex-math></inline-formula> in both normal and oblique angles. Thus, the predicted FSS designs are ideal for radome, EMI shielding, and satellite communications, providing efficient frequency filtering for 5G and beyond 5G networks.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"37-46"},"PeriodicalIF":1.5,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982171","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 Neural Network Guided Approach for Repeater Optimization in Multilayer Graphene On-Chip Interconnect Networks Including TSVs 包括tsv在内的多层石墨烯片上互连网络中继站优化的神经网络引导方法

IF 1.5

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2025-10-24 DOI: 10.1109/JMMCT.2025.3625423

Asha K. Jakhar;Rohit Sharma;Avirup Dasgupta;Sourajeet Roy

{"title":"A Neural Network Guided Approach for Repeater Optimization in Multilayer Graphene On-Chip Interconnect Networks Including TSVs","authors":"Asha K. Jakhar;Rohit Sharma;Avirup Dasgupta;Sourajeet Roy","doi":"10.1109/JMMCT.2025.3625423","DOIUrl":"https://doi.org/10.1109/JMMCT.2025.3625423","url":null,"abstract":"In this paper, an artificial neural network (ANN) guided approach is developed for the repeater optimization in multilayer graphene on-chip interconnect networks. The key attribute of the proposed approach is the use of two distinct ANNs to generalize the target objective functions of interconnect networks in terms of (i) the geometrical parameters of the vertical through silicon vias (TSVs) present in the network, and (ii) the design parameters of the fin-shaped field effect transistors (FinFETs) making up the repeaters. The first ANN (ANN<sub>1</sub>) ensures that for any change in the TSV geometry, the objective functions of the network can be accurately approximated by analytical expressions without the need for laborious SPICE simulations. The second ANN (ANN<sub>2</sub>) identifies additional tuning parameters of the repeaters besides simply the number and size of the repeaters, leading to better optimization results of the network performance. This enables performing efficient repeater optimizations in the presence of design variability of the TSVs. The generalized target objective functions of the network are then maximized/minimized using a particle swarm optimizer. Multiple numerical examples are presented in the paper to test and validate the proposed ANN guided approach.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"10 ","pages":"483-495"},"PeriodicalIF":1.5,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145510231","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