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

Electromagnetic-Thermal Analysis With FDTD and Physics-Informed Neural Networks 利用FDTD和物理信息神经网络进行电磁热分析

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-13 DOI: 10.1109/JMMCT.2023.3236946

Shutong Qi;Costas D. Sarris

引用次数: 2

Split-Field Domain Decomposition Parallel Algorithm With Fast Convergence for Electromagnetic Analysis 一种快速收敛的电磁分析分域分解并行算法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-12 DOI: 10.1109/JMMCT.2023.3236645

Shuzhan Sun;Dan Jiao

引用次数: 0

Numerical Study of the Optical Response of $text{ITO}$-${text{In}_{{2}}{text O}_{{3}}}$ Core-Shell Nanocrystals for Multispectral Electromagnetic Shielding 多光谱电磁屏蔽中$text{ITO}$-${text{In}_{{2}}{text O}_{{3}}}$核壳纳米晶体光响应的数值研究

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-10 DOI: 10.1109/JMMCT.2023.3235750

Nicola Curreli;Matteo Bruno Lodi;Michele Ghini;Nicolò Petrini;Andrea Buono;Maurizio Migliaccio;Alessandro Fanti;Ilka Kriegel;Giuseppe Mazzarella

{"title":"Numerical Study of the Optical Response of $text{ITO}$-${text{In}_{{2}}{text O}_{{3}}}$ Core-Shell Nanocrystals for Multispectral Electromagnetic Shielding","authors":"Nicola Curreli;Matteo Bruno Lodi;Michele Ghini;Nicolò Petrini;Andrea Buono;Maurizio Migliaccio;Alessandro Fanti;Ilka Kriegel;Giuseppe Mazzarella","doi":"10.1109/JMMCT.2023.3235750","DOIUrl":"https://doi.org/10.1109/JMMCT.2023.3235750","url":null,"abstract":"Nowadays, materials to protect equipment from unwanted multispectral electromagnetic waves are needed in a broad range of applications including electronics, medical, military and aerospace. However, the shielding materials currently in use are bulky and work effectively only in a limited frequency range. Therefore, nanostructured materials are under investigation by the relevant scientific community. In this framework, the design of multispectral shielding nanomaterials must be supplemented with proper numerical models that allow dealing with non-linearities and being effective in predicting their absorption spectra. In this study, the electromagnetic response of metal-oxide nanocrystals with multispectral electromagnetic shielding capability has been investigated. A numerical framework was developed to predict energy bands and electron density profiles of a core-shell nanocrystal and to evaluate its optical response at different wavelengths. To this aim, a finite element method software is used to solve a non-linear Poisson's equation. The numerical simulations allowed to model the optical response of \u0000<inline-formula><tex-math>$mathbf {ITO}$</tex-math></inline-formula>\u0000-\u0000<inline-formula><tex-math>$mathbf {In_{2}O_{3}}$</tex-math></inline-formula>\u0000 core-shell nanocrystals and can be effectively applied to different nanotopologies to support an enhanced design of nanomaterials with multispectral shielding capabilities.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"8 ","pages":"60-70"},"PeriodicalIF":2.3,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7274859/10003074/10013664.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49962821","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}

引用次数: 0

A Systematic Approach to Adaptive Mesh Refinement for Computational Electrodynamics 计算电动力学自适应网格细化的系统方法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-03 DOI: 10.1109/JMMCT.2022.3233944

Dinshaw S. Balsara;Costas D. Sarris

{"title":"A Systematic Approach to Adaptive Mesh Refinement for Computational Electrodynamics","authors":"Dinshaw S. Balsara;Costas D. Sarris","doi":"10.1109/JMMCT.2022.3233944","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3233944","url":null,"abstract":"There is a great need to solve CED problems on adaptive meshes; referred to here as AMR-CED. The problem was deemed to be susceptible to “long-term instability” and parameterized methods have been used to control the instability. In this paper, we present a new class of AMR-CED methods that are free of this instability because they are based on a more careful understanding of the constraints in Maxwell's equations and their preservation on a single control volume. The important building blocks of these new methods are: 1) Timestep sub-cycling of finer child meshes relative to parent meshes. 2) Restriction of fine mesh facial data to coarser meshes when the two meshes are synchronized in time. 3) Divergence constraint-preserving prolongation of the coarse mesh solution to newly built fine meshes or to the ghost zones of pre-existing fine meshes. 4) Electric and magnetic field intensity-correction strategy at fine-coarse interfaces. Using examples, we show that the resulting AMR-CED algorithm is free of “long-term instability”. Unlike previous methods, there are no adjustable parameters. The method is inherently stable because a strict algorithmic consistency is applied at all levels in the AMR mesh hierarchy. We also show that the method preserves order of accuracy, so that high order methods for AMR-CED are indeed possible.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"8 ","pages":"82-96"},"PeriodicalIF":2.3,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49981637","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

2023 Index IEEE Journal on Multiscale and Multiphysics Computational Techniques Vol. 8 2023 Index IEEE Journal on Multiscale and Multiphysics Computational Techniques Vol.

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-01 DOI: 10.1109/JMMCT.2024.3355900

引用次数: 0

Editorial The Year of the Impact Factor 社论影响因子年

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2023-01-01 DOI: 10.1109/JMMCT.2023.3346472

Costas Sarris

引用次数: 0

An A-$Phi$ Formulation Solver in Electromagnetics Based on Discrete Exterior Calculus 电磁学中基于离散外微积分的A-$Phi$公式求解器

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-12-20 DOI: 10.1109/JMMCT.2022.3230732

Boyuan Zhang;Dong-Yeop Na;Dan Jiao;Weng Cho Chew

{"title":"An A-$Phi$ Formulation Solver in Electromagnetics Based on Discrete Exterior Calculus","authors":"Boyuan Zhang;Dong-Yeop Na;Dan Jiao;Weng Cho Chew","doi":"10.1109/JMMCT.2022.3230732","DOIUrl":"https://doi.org/10.1109/JMMCT.2022.3230732","url":null,"abstract":"An efficient numerical solver for the \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 formulation in electromagnetics based on discrete exterior calculus (DEC) is proposed in this paper. The \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 formulation is immune to low-frequency breakdown and ideal for broadband and multi-scale analysis. The generalized Lorenz gauge is used in this paper, which decouples the \u0000<bold>A\u0000 equation and the \u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 equation. The \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 formulation is discretized by using the DEC, which is the discretized version of exterior calculus in differential geometry. In general, DEC can be viewed as a generalized version of the finite difference method, where Stokes' theorem and Gauss's theorem are naturally preserved. Furthermore, compared with finite difference method, where rectangular grids are applied, DEC can be implemented with unstructured mesh schemes, such as tetrahedral meshes. Thus, the proposed DEC \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 solver is inherently stable, free of spurious solutions and can capture highly complex structures efficiently. In this paper, the background knowledge about the \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 formulation and DEC is introduced, as well as technical details in implementing the DEC \u0000<bold>A\u0000-\u0000<inline-formula><tex-math>$Phi$</tex-math></inline-formula>\u0000 solver with different boundary conditions. Numerical examples are provided for validation purposes as well.","PeriodicalId":52176,"journal":{"name":"IEEE Journal on Multiscale and Multiphysics Computational Techniques","volume":"8 ","pages":"11-21"},"PeriodicalIF":2.3,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49962816","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

Boundary Integral Equation Method for Electrostatic Field Prediction in Piecewise-Homogeneous Electrolytes 分段均质电解质中静电场预测的边界积分方程法

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-12-20 DOI: 10.1109/JMMCT.2022.3230664

Christopher K. Pratt;John C. Young;Robert J. Adams;Stephen D. Gedney

引用次数: 1

Electromagnetic-Thermal Modeling of Nonlinear Magnetic Materials 非线性磁性材料的电磁-热建模

IF 2.3

IEEE Journal on Multiscale and Multiphysics Computational Techniques Pub Date : 2022-12-16 DOI: 10.1109/JMMCT.2022.3229963

Hongliang Li;Philip T. Krein;Jian-Ming Jin

引用次数: 3

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":"8 ","pages":"31-39"},"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