DocuGuru
IEEE

IEEE Journal on Multiscale and Multiphysics Computational Techniques Template

Write in a clean editor, then format for IEEE Journal on Multiscale and Multiphysics Computational Techniques in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

Use this template

About the IEEE Journal on Multiscale and Multiphysics Computational Techniques format

IEEE Journal on Multiscale and Multiphysics Computational Techniques is a peer-reviewed journal published by IEEE, covering Electromagnetic Simulation and Numerical Methods, Electromagnetic Scattering and Analysis, Microwave Engineering and Waveguides. Over its lifetime it has published 409 papers, which have received 3,119 citations.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE Journal on Multiscale and Multiphysics Computational Techniques style. No sign-up.

Abbreviation (ISO-4)JMMCT
Publishes research inElectromagnetic Simulation and Numerical Methods Electromagnetic Scattering and Analysis Microwave Engineering and Waveguides Advanced Antenna and Metasurface Technologies Antenna Design and Analysis
ISSN2379-8793
Citation impact (2-yr)1.84
h-index26
i10-index102
Top institutions publishing herePurdue University West Lafayette
Journal websiteieeexplore.ieee.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE Journal on Multiscale and Multiphysics Computational Techniques per year

20
2016
32
2017
37
2018
48
2019
29
2020
28
2021
41
2022
44
2023
45
2024
52
2025

Citation impact of IEEE Journal on Multiscale and Multiphysics Computational Techniques by publication year

367
2016
436
2017
320
2018
573
2019
372
2020
337
2021
227
2022
224
2023
174
2024
50
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in IEEE Journal on Multiscale and Multiphysics Computational Techniques

A Maxwell's Equations Based Deep Learning Method for Time Domain Electromagnetic Simulations

Pan Zhang, Yanyan Hu, Yuchen Jin et al. · 1 Jan 2021

In this paper, we discuss an unsupervised deep learning (DL) method for solving time domain electromagnetic simulations. Compared to the conventional approach, our method encodes initial conditions, boundary conditions as well as Maxwell's equations as the constraints when training the network, turning an electromagnetic simulation problem into an optimization process. High prediction accuracy of the…

107 citations Cite SaveGo to paper →
Two-Dimensional Electromagnetic Solver Based on Deep Learning Technique

Shutong Qi, Yinpeng Wang, Yongzhong Li et al. · 1 Jan 2020

Although the deep learning technique has been introduced into computational physics in recent years, the feasibility of applying it to solve electromagnetic (EM) scattering field from arbitrary scatters remains open. In this article, the convolutional neural network (CNN) has been employed to predict the EM field scattered by complex geometries under plane-wave illumination. The 2-D…

107 citations Cite SaveGo to paper →
Berry Phase, Berry Connection, and Chern Number for a Continuum Bianisotropic Material From a Classical Electromagnetics Perspective

S. Ali Hassani Gangaraj, Mario G. Silveirinha, George W. Hanson · 1 Jan 2017

The properties that quantify photonic topological insulators (PTIs), Berry phase, Berry connection, and Chern number, are typically obtained by making analogies between classical Maxwell's equations and the quantum mechanical Schrödinger equation, writing both in Hamiltonian form. However, the aforementioned quantities are not necessarily quantum in nature, and for photonic systems they can be explained using…

85 citations Cite SaveGo to paper →
Quantum Electromagnetics: A New Look—Part I

Weng Cho Chew, A. Y. Liu, C. Salazar-Lazaro et al. · 1 Jan 2016

Quantization of the electromagnetic field has been a fascinating and important subject since its inception. This subject topic will be discussed in its simplest terms so that it can be easily understood by a larger community of researchers. A new way of motivating Hamiltonian mechanics is presented together with a novel way of deriving the…

63 citations Cite SaveGo to paper →
Modeling of Multiple Dynamics in the Radiation of Bulk Acoustic Wave Antennas

Zhi Yao, Sidhant Tiwari, Lu Ting et al. · 13 Dec 2019

An unconditionally stable finite-difference time-domain (FDTD) algorithm is proposed to predict and understand the complex response in strain-mediated multiferroic radio frequency devices, such as antennas. A system of three coupled sets of governing equations is solved simultaneously: 1) Maxwell's equations for electromagnetic (EM) wave propagation; 2) Landau- Lifshitz-Gilbert equation for magnetic spin response; and 3)…

60 citations Cite SaveGo to paper →

IEEE Journal on Multiscale and Multiphysics Computational Techniques template — frequently asked questions

How do I write a paper in the IEEE Journal on Multiscale and Multiphysics Computational Techniques format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE Journal on Multiscale and Multiphysics Computational Techniques template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE Journal on Multiscale and Multiphysics Computational Techniques use?
IEEE Journal on Multiscale and Multiphysics Computational Techniques uses Numbered (IEEE) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Journal on Multiscale and Multiphysics Computational Techniques, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE Journal on Multiscale and Multiphysics Computational Techniques?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE Journal on Multiscale and Multiphysics Computational Techniques document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the IEEE Journal on Multiscale and Multiphysics Computational Techniques template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the IEEE Journal on Multiscale and Multiphysics Computational Techniques format with correct headings, figures, tables, and numbered citations.
Who publishes IEEE Journal on Multiscale and Multiphysics Computational Techniques?
IEEE Journal on Multiscale and Multiphysics Computational Techniques is a engineering and computer science journal published by IEEE. DocuGuru's IEEE Journal on Multiscale and Multiphysics Computational Techniques template matches IEEE's official submission format.
Can I export a submission-ready IEEE Journal on Multiscale and Multiphysics Computational Techniques PDF?
Yes — DocuGuru produces a PDF built with the official IEEE Journal on Multiscale and Multiphysics Computational Techniques template (the IEEEtran class) that is ready to submit to IEEE, together with the matching LaTeX source files.
How much does the IEEE Journal on Multiscale and Multiphysics Computational Techniques template cost?
You can start writing in the IEEE Journal on Multiscale and Multiphysics Computational Techniques template for free. Exporting the final submission-ready IEEE Journal on Multiscale and Multiphysics Computational Techniques PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the IEEE Journal on Multiscale and Multiphysics Computational Techniques template