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The MC-CC Method Applied for Electromagnetic-Thermal Multi-Physics Statistical Analysis

  • Xiaojin Tang
  • , Zijing Xiao
  • , Wenshuai Ding
  • , Yingsong Li
  • , Zhixiang Huang
  • , Xianliang Wu
  • , Kaikun Niu*
  • , Kuang Zhang
  • *Corresponding author for this work
  • China Aerospace Science and Technology Corporation
  • Anhui University

Research output: Contribution to journalArticlepeer-review

Abstract

The Monte Carlo correlation coefficient (MC-CC) method is an efficient and accurate stochastic algorithm based on the fundamental principles of Monte Carlo methods, which can effectively enhance the numerical accuracy of the stochastic finite-difference time-domain (S-FDTD) method. However, its application is limited to statistical analysis of electromagnetic fields. In this paper, we propose the MC-CC method that can efficiently and accurately solve random problems in thermal field and electromagnetic-thermal multi-physics. This method can significantly improve the numerical accuracy of the S-FDTD method when performing statistical analysis of thermal field and electromagnetic-thermal multi-physics, while also reducing computational time compared to conventional Monte Carlo method.

Original languageEnglish
Pages (from-to)506-514
Number of pages9
JournalChinese Journal of Electronics
Volume35
Issue number2
DOIs
StatePublished - 1 Mar 2026

Keywords

  • Electromagnetic-thermal multi-physics
  • Monte Carlo correlation coefficient (MC-CC)
  • Monte Carlo method
  • Statistical analysis
  • Stochastic finite-difference time-domain (S-FDTD) method

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