A Unified Arbitrary-Order Symplectic FDTD(p,q) Algorithm Based on Matrix Exponential Method for Anisotropic Time-Varying Plasma and PML
This study introduces a novel, unified arbitrary-order matrix exponential-symplectic FDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> (ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-...
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| Published in | IEEE transactions on microwave theory and techniques Vol. 73; no. 8; pp. 4630 - 4646 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.08.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9480 1557-9670 |
| DOI | 10.1109/TMTT.2025.3547000 |
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| Abstract | This study introduces a novel, unified arbitrary-order matrix exponential-symplectic FDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> (ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula>) method tailored for simulating anisotropic time-varying plasma medium. The governing equations, comprising both current density and Maxwell's equations, are reformulated into a compact first-order differential matrix form and then discretized in the temporal domain using a multistage p-order symplectic integrator. Meanwhile, the matrix exponential (ME) coefficients arising from the symplectic discretization are efficiently computed utilizing the ME method, while spatial derivatives are approximated by a q-order central-difference scheme. These processes yield a complete numerical iteration framework specific to the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> format, optimized for field components calculations in an anisotropic time-varying plasma medium. To effectively truncate the simulation space modeled by the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> method, a high-performance complex frequency-shifted perfectly matched layer (CFS-PML) technique is proposed, which shares the same primary iteration formulas as the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> method, exhibiting excellent absorption performance and high compatibility. In addition, a comprehensive numerical stability and dispersion analysis is conducted to confirm the feasibility of the proposed method. Finally, several numerical examples are presented to thoroughly validate the accuracy and efficiency of the approach. |
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| AbstractList | This study introduces a novel, unified arbitrary-order matrix exponential-symplectic FDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> (ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula>) method tailored for simulating anisotropic time-varying plasma medium. The governing equations, comprising both current density and Maxwell's equations, are reformulated into a compact first-order differential matrix form and then discretized in the temporal domain using a multistage p-order symplectic integrator. Meanwhile, the matrix exponential (ME) coefficients arising from the symplectic discretization are efficiently computed utilizing the ME method, while spatial derivatives are approximated by a q-order central-difference scheme. These processes yield a complete numerical iteration framework specific to the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> format, optimized for field components calculations in an anisotropic time-varying plasma medium. To effectively truncate the simulation space modeled by the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> method, a high-performance complex frequency-shifted perfectly matched layer (CFS-PML) technique is proposed, which shares the same primary iteration formulas as the ME-SFDTD<inline-formula> <tex-math notation="LaTeX">^{(p, q)} </tex-math></inline-formula> method, exhibiting excellent absorption performance and high compatibility. In addition, a comprehensive numerical stability and dispersion analysis is conducted to confirm the feasibility of the proposed method. Finally, several numerical examples are presented to thoroughly validate the accuracy and efficiency of the approach. This study introduces a novel, unified arbitrary-order matrix exponential-symplectic FDTD[Formula Omitted] (ME-SFDTD[Formula Omitted]) method tailored for simulating anisotropic time-varying plasma medium. The governing equations, comprising both current density and Maxwell’s equations, are reformulated into a compact first-order differential matrix form and then discretized in the temporal domain using a multistage p-order symplectic integrator. Meanwhile, the matrix exponential (ME) coefficients arising from the symplectic discretization are efficiently computed utilizing the ME method, while spatial derivatives are approximated by a q-order central-difference scheme. These processes yield a complete numerical iteration framework specific to the ME-SFDTD[Formula Omitted] format, optimized for field components calculations in an anisotropic time-varying plasma medium. To effectively truncate the simulation space modeled by the ME-SFDTD[Formula Omitted] method, a high-performance complex frequency-shifted perfectly matched layer (CFS-PML) technique is proposed, which shares the same primary iteration formulas as the ME-SFDTD[Formula Omitted] method, exhibiting excellent absorption performance and high compatibility. In addition, a comprehensive numerical stability and dispersion analysis is conducted to confirm the feasibility of the proposed method. Finally, several numerical examples are presented to thoroughly validate the accuracy and efficiency of the approach. |
| Author | Chen, Yi Deng, Xuesong Xie, Guoda Huang, Zhixiang Song, Kaihong Li, Yingsong Elsherbeni, Atef Z. Hou, Guilin Fang, Ming |
| Author_xml | – sequence: 1 givenname: Guilin orcidid: 0000-0003-2175-3282 surname: Hou fullname: Hou, Guilin organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 2 givenname: Guoda orcidid: 0000-0003-3563-791X surname: Xie fullname: Xie, Guoda email: gdxie@ahu.edu.cn organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 3 givenname: Yi surname: Chen fullname: Chen, Yi organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 4 givenname: Kaihong surname: Song fullname: Song, Kaihong organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 5 givenname: Xuesong orcidid: 0009-0009-0328-2676 surname: Deng fullname: Deng, Xuesong organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 6 givenname: Ming orcidid: 0000-0002-9132-8997 surname: Fang fullname: Fang, Ming organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 7 givenname: Yingsong orcidid: 0000-0002-2450-6028 surname: Li fullname: Li, Yingsong organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 8 givenname: Zhixiang orcidid: 0000-0002-8023-9075 surname: Huang fullname: Huang, Zhixiang organization: Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the Center for Big Data and Population Health of IHM, Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes, Anhui University, Hefei, China – sequence: 9 givenname: Atef Z. orcidid: 0000-0002-8657-937X surname: Elsherbeni fullname: Elsherbeni, Atef Z. organization: Department of Electrical Engineering, Colorado School of Mines, Golden, CO, USA |
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| SubjectTerms | Absorption Accuracy Anisotropic Anisotropic time-varying plasma arbitrary order complex frequency-shifted perfectly matched layer (CFS-PML) Discretization Dispersion Electrons Finite difference methods Finite difference time domain method Iterative methods Mathematical analysis Mathematical models matrix exponential (ME) method Maxwell equations Maxwell's equations Numerical stability Perfectly matched layers Plasmas symplectic finite-difference time domain (SFDTD) Time-domain analysis |
| Title | A Unified Arbitrary-Order Symplectic FDTD(p,q) Algorithm Based on Matrix Exponential Method for Anisotropic Time-Varying Plasma and PML |
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