IEEE Journal on Multiscale and Multiphysics Computational Techniques最新文献

{"title":"Frequency-Space Metasurface Inverse Design Through Huygens Scattering-Assisted Deep Learning","authors":"Haoman Wang;Chao Qian;Liming Xu;Hongsheng Chen;Haogang Wang","doi":"10.1109/JMMCT.2026.3695747","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3695747","url":null,"abstract":"Deep learning has greatly advanced metasurface design by overcoming the slow, inefficient and experience-driven limitations of traditional numerical simulations. However, inverse design of metasurface arrays for electromagnetic scattering control in the frequency-space domain entails significantly higher degrees of freedom, which leads to increased computational complexity and prohibitive full-wave simulation costs. To address this, we integrate universal Huygens scattering into a deep learning framework to build a fast simulation surrogate. This physics-informed approach accelerates optimization while circumventing solution ambiguity. Through a two-stage inverse design strategy, multi-objective optimization is decomposed to lower computational burden and reduce inter-objective trade-offs. Our method supports the realization of arbitrary scattering profiles with high design flexibility. Experimentally, the designed metasurface achieves 7.6–29.8 dB RCS reduction at normal incidence over 3.7–18 GHz (131.8% bandwidth) and maintains over 6 dB average reduction within ±30° in two orthogonal planes. This work establishes an efficient route to inversely design broadband, wide-angle scattering-controlling metasurface arrays.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"331-347"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148443284","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}

{"title":"A Novel Leaky-Wave Antenna Based on Spin Photonic Topological Metasurface","authors":"Sayyed Ahmad Abtahi;Mohsen Maddahali;Ahmad Bakhtafrouz","doi":"10.1109/JMMCT.2026.3659773","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3659773","url":null,"abstract":"The article discusses a leaky-wave antenna that employs spin photonic topological insulators, aiming to achieve broadside radiation—an outcome that is usually challenging for these types of insulators. Spin photonic topological insulators represent a new class of metasurfaces that show potential for both guided and radiative applications. A notable feature of these structures is their ability to resist backscattering while navigating sharp turns in their propagation path. One configuration explored for these metasurfaces consists of hexagonal complementary unit cells. These unit cells reveal different properties depending on whether they are arranged in a zig-zag or armchair configuration. A new X-band leaky-wave antenna has been developed using the armchair arrangement, which offers several advantages over the zig-zag configuration. Additionally, research has focused on establishing proportional coupling between the topological structure and a classical transmission line. Despite the design featuring an unbalanced CRLH metasurface, it can effectively radiate in both backward and forward directions while maintaining robust performance at broadside. An evaluation of the leakage factor for this structure indicates that its exceptionally low value is responsible for its superior performance compared to other unbalanced CRLH metasurfaces, which do not display similar capabilities. This proposed low-profile antenna illuminates both sides of the structure symmetrically, offering a scanning range of 53 degrees and a bandwidth of 2.7 GHz.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"371-378"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148483638","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}

{"title":"Hierarchical Graph-Electromagnetic Topology Method for Electromagnetic Analysis of Interconnected Transmission Line Networks","authors":"Yiqing Tao;Chunyan Xiao;Zheng Sun","doi":"10.1109/JMMCT.2026.3709402","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3709402","url":null,"abstract":"Electromagnetic (EM) analysis of interconnected transmission-line networks (TLNs) with intricate topologies is challenging. While conventional electromagnetic topology (EMT) -based methods can characterize EM responses, they are limited to simple networks composed of single conductors and heavily rely on manual, expertise-driven matrix construction, which restricts their scalability. To address these issues, we propose the Hierarchical Graph-Electromagnetic Topology (HG-EMT) method that bridges a34utomated EM modeling with rigorous EM computation. First, a hierarchical graph representation is introduced to encapsulate the network topology, multi-conductor coupling mechanisms, and the mapping between physical transmission lines and EMT tubes, enabling concise and mathematically tractable modeling. Second, by integrating the graph model with EMT theory, a programmable EM computation workflow is established in which topological information is automatically extracted to determine the elements and assembly sequence of the governing matrix equations, e.g., Baum-Liu-Tesche equations. This eliminates extensive expert intervention and transforms EM analysis from a manual process into a programmatic procedure. Simulation results from representative case studies verify the accuracy and efficiency of the proposed method. This work provides a robust foundation for next generation of specialized simulation tools capable of handling large-scale and complex interconnected systems.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"413-424"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148626106","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}

{"title":"Vision-Based Transformer Model for Fast Simulation of Advanced Packaging Structure","authors":"Yifan Wang;Xingchen Li;Yiliang Guo;Madhavan Swaminathan","doi":"10.1109/JMMCT.2026.3699512","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3699512","url":null,"abstract":"Accurate electromagnetic (EM) modeling of electronic package structures is critical for signal and power integrity analysis, yet full-wave simulations on fine meshes are often computationally expensive. Deep learning and neural network models have recently attracted considerable attention as alternative solutions. However, with the continuous expansion of the design space in advanced packaging, conventional surrogate architectures such as FCNNs, CNNs, and RNNs start to exhibit limitations in scalability. Therefore, in this paper, we propose two vision-based transformer models that eliminate the need for design parameters and leverage self-attention mechanism for efficient package-level EM and multi-physics simulation. The first framework employs a Vision Transformer (ViT) to directly predict frequency-domain responses (S-parameters) from structural images of the package. By capturing global spatial dependencies through self-attention, the ViT-based model achieves high accuracy while significantly reducing computational cost compared to conventional EM solvers. The second framework introduces a transformer-based super-resolution neural network designed for multiphysics co-simulation scenarios. Specifically, a physical structure is simulated with a coarse mesh using an EM solver to provide power input to the thermal solver, which subsequently generates low-resolution temperature profile images. The super-resolution neural network then refines these results to produce high-resolution temperature distributions, akin to those obtained through numerical simulations with a fine mesh. Various numerical examples are simulated to validate the capability and improvement of the proposed method.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"291-300"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148433212","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}

{"title":"Efficient Modal Analysis of Elliptical Waveguides Using Spectral Method With Anisotropic $p$-Refinement","authors":"Raul O. Ribeiro;Guilherme S. Rosa;Adrian Amor-Martin;Fernando L. Teixeira","doi":"10.1109/JMMCT.2026.3742227","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3742227","url":null,"abstract":"This work develops a spectral method for modeling metallic-bounded elliptical waveguides with a wide range of eccentricities. The approach uses symmetry planes to restrict the problem to a quarter-elliptical domain, which is subsequently mapped to a rectangular domain via a conformal transformation. In the rectangular domain, we define a normalized variational formulation for the analysis of waveguides filled with uniaxially anisotropic media. In addition, the axial fields are approximated using two-dimensional Lagrange basis functions based on GLL points with anisotropic <inline-formula><tex-math>$p$</tex-math></inline-formula>-refinement (different polynomial orders for the two directions), which allows efficient solution without partitioning the domain. The approach is first validated against analytical solutions based on modified Mathieu functions, showing excellent agreement. It is then compared with a conventional finite element discretization, achieving comparable accuracy with significantly fewer degrees of freedom. Finally, a lossy anisotropic case is investigated, once again demonstrating excellent agreement while requiring substantially fewer degrees of freedom.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"563-568"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11731435","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149249375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chrono::Electronics: An Open-Source Simulation Library for Electro-Mechanical Problems","authors":"Federico Maria Reato;Matteo Santelia;Bret Witt;Jamiul Haque;Patrick Chen;Filippo Morlacchi;Claudio Ricci;Matteo Calzaferri;Maurizio Zama;Antonio Milici;Simone Cinquemani;Dan Negrut","doi":"10.1109/JMMCT.2026.3683328","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3683328","url":null,"abstract":"The growing relevance of mechatronic applications, characterized by the tight interaction between mechanical and electrical domains, is driving the demand for accurate and efficient simulation tools. These simulations are particularly useful in robotics and automation, where mechanical sub-assemblies are coupled with various electric and electromagnetic devices, e.g. actuators or sensors. To support this class of applications, we present <monospace>Chrono::Electronics</monospace> - an open-source co-simulation solution for electro-mechanical systems. The library is designed to couple the multibody dynamics open-source engine Project Chrono, with the versatile open-source circuit simulator NGSpice, to solve complex electro-mechanical dynamic interactions. In this contribution we present the main features of the co-simulation library for electro-mechanical systems, featuring a fully reorganized structure and a renovated object-oriented architecture. The new framework introduces dedicated mechanisms for model and data handling, which improve the computational efficiency. In addition, the modular design of the utility enhances simulations results reliability and broadens the spectrum of possible applications through the introduction of subclasses for handling pre-defined, user-defined, and manufacturer-defined circuits. Beyond validating the proposed environment, we propose a novel methodology previously unexplored in this field, for the characterization of brushed DC motor parameters, based on a Bayesian Monte Carlo approach. Unlike existing techniques reported in the literature, this strategy provides a fundamentally different perspective on parameter estimation for real case applications. The method has been applied to an industrial DC motor, yielding highly accurate results and further demonstrating the framework’s scalability and potential across electro-mechanical power applications where reliable modelling of electro-mechanical interactions is crucial.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"184-196"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796162","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}

{"title":"NSI-IBP: A General Numerical Singular Integral Method via Integration by Parts","authors":"Shaolin Liao","doi":"10.1109/JMMCT.2026.3677619","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3677619","url":null,"abstract":"A general framework of Numerical Singular Integrals (NSI) method based on the Integration By Parts (IBP) has been developed for integrals involving singular and nearly singular integrands, or NSI-IBP. Through a general integration by parts formula and by choosing some analytically integrable function to approximate the original integrand, various well-known integration by parts methods can be derived. Rigorous mathematical derivations have been performed to transform the original singular or nearly singular integrals into non-singular integrals that can be computed efficiently, along with the boundary values added. What’s more important, the NSI-IBP method works well even when the exact form of the singular integrand is not known. Criteria on how to choose the appropriate function with a known analytical integral that closely approximates the original integrand have been outlined and explained. Numerical recipe has been presented to apply the proposed NSI-IBP. Numerical experiments have been carried out on various singular integrals such as the power-law decaying integrand, the logarithmic function, and their hybrid products. It can be shown that various relative accuracy up to <inline-formula><tex-math>$10^{-15}$</tex-math></inline-formula> can be achieved, even the exact singular function is not known. Finally, the nearly singular integrals involving the scalar Green’s function have been evaluated for both electrostatics applications and Computational Electromagnetics (CEM) applications.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"197-211"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828993","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}

{"title":"System-Level Thermal–Electromagnetic–Circuit Coupling Analysis and Heat-Dissipation Design for an FOWLP-Based RF Module","authors":"Jiajie Yang;Lixin Xu;Ke Yang","doi":"10.1109/JMMCT.2026.3699976","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3699976","url":null,"abstract":"Thermal effects pose a significant challenge to the electromagnetic transmission and circuit-level performance of compact radio-frequency (RF) modules based on advanced packaging technology. To address the limitations of conventional thermal–electrical coupling analysis methods and thermal-management approaches for RF integrated modules, this paper presents an algorithm-assisted modeling (AAM)-based thermal–electromagnetic–circuit coupling analysis method and package-level heat-dissipation layout designs for a fan-out wafer-level packaging (FOWLP)-based frequency-modulated continuous-wave (FMCW) RF module. First, an FOWLP-based FMCW RF module is developed as the analysis platform. Then, the proposed AAM-based method introduces the nonuniform temperature distribution into the electromagnetic and circuit-level analysis of the RF module. The results show that, as the ambient temperature increases, the S-parameter curves exhibit more pronounced fluctuations, and the reduction in intermediate-frequency signal-to-noise ratio (SNR) calculated by the AAM-based method relative to the uniform-temperature model also increases. Finally, three horizontal heat-dissipation layouts based on through-mold via (TMV) chips and solder-ball arrays are designed and evaluated. Without changing the original package dimensions, the proposed layouts improve both thermal and system-level RF performance. The hybrid layout reduces the maximum temperature and the area exceeding <inline-formula><tex-math>$40,^{circ }mathrm{C}$</tex-math></inline-formula> by 6.0% and 52.2%, respectively. The uniform layout provides the largest improvements in transmit power and intermediate-frequency SNR, with increases of <inline-formula><tex-math>$text{2.93},text{dB}$</tex-math></inline-formula> and <inline-formula><tex-math>$text{1.51},text{dB}$</tex-math></inline-formula>, respectively.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"301-315"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148433220","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}

{"title":"Mechanical Antenna Bandwidth Improvements via Alternate Poling Multimode Resonance","authors":"Jesse Rivera;John Blaske;Zhi Yao;Yuanxun Ethan Wang;Gregory P. Carman","doi":"10.1109/JMMCT.2026.3666189","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3666189","url":null,"abstract":"Electrically small antennas face a seemingly insoluble dilemma. As engineers make headway in efficiency by boosting the device quality factor (Q), the bandwidth necessarily drops. Any wins in bandwidth conversely deteriorate the already low efficiency. The result is that cutting edge designs that boast of high efficiencies also have notoriously low bandwidths. This is untenable for commercial and military applications. One future platform that exemplifies this is the mechanical resonance based piezoelectric antenna array. The high Q piezoelectric material allows even a single 1D bar element to be four orders of magnitude more efficient than an optimized 3D metallic antenna at the same form factor but at a bandwidth roughly 1/1000^th of the operating frequency. This work presents a method of partially overcoming these bandwidth deficiencies by utilizing a mechanical tuning method unique to piezoelectric antenna arrays. In such devices, the array spacing alters the stiffness of the piezoelectric elements which thus alters the resonance frequency without significantly diminishing the efficiency. Thus, a frequency band may be scanned by mechanically altering the array spacing. This frequency band is referred to as the mechanically tuned half-power bandwidth (MT-HPBW), which is roughly two orders of magnitude larger than the traditional HPBW. Additional improvements in bandwidth are realized by utilizing multiple resonance modes. An algorithm capable of performing full-wave simulations on such piezoelectric antenna arrays is presented with modifications with respect to previous work. Computational and design guidance is also provided based on the authors’ own experiences.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"212-225"},"PeriodicalIF":1.5,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828714","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}

{"title":"Using Neural Ordinary Differential Equations for Recovering the FPU Lattice","authors":"Arseniy S. Naumov;Victor Yu. Popov","doi":"10.1109/JMMCT.2026.3717706","DOIUrl":"https://doi.org/10.1109/JMMCT.2026.3717706","url":null,"abstract":"The article presents the mathematical foundations of neural networks and neural ordinary differential equations, as well as their application for recovering parameters of physical models such as the forced damped harmonic oscillator and the Fermi-Pasta-Ulam lattice with damping and forcing. Algorithms for generating noisy trajectories, training Neural ODE using multilayer perceptrons, and parameter optimization using the LBFGS method are described. The results demonstrate the method's robustness to noise and accurate recovery of parameters (<inline-formula><tex-math>$omega$</tex-math></inline-formula>, <inline-formula><tex-math>$gamma$</tex-math></inline-formula>, <inline-formula><tex-math>$A$</tex-math></inline-formula>, <inline-formula><tex-math>$Omega$</tex-math></inline-formula>), confirmed by visualizations of losses and trajectories.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"11 ","pages":"453-459"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148780956","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}