J
Jun Fan
Researcher at Missouri University of Science and Technology
Publications - 505
Citations - 7033
Jun Fan is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Printed circuit board & Equivalent circuit. The author has an hindex of 36, co-authored 482 publications receiving 5641 citations. Previous affiliations of Jun Fan include Ulsan National Institute of Science and Technology & University of Missouri.
Papers
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Proceedings ArticleDOI
Recent development of via models: Hybrid circuit and field analysis
Yaojiang Zhang,Jun Fan +1 more
TL;DR: In this paper, the accuracy of the improved intrinsic via model and the conventional physics-based via model is investigated by comparing them with either analytical formula or numerical simulations for a via in a circular plate pair with various edge boundary conditions.
Journal ArticleDOI
An Efficient High-Speed Channel Modeling Method Based on Optimized Design-of-Experiment (DoE) for Artificial Neural Network Training
TL;DR: This paper studies the optimized setup in the design-of-experiment (DoE) method to efficiently construct precise artificial neural network (ANN) model for high-speed channel and proposes an optimized setup based on error analysis.
Proceedings ArticleDOI
Radiation physics and EMI coupling path determination for optical links
TL;DR: In this paper, a mode stirred reverberation chamber (RC) is used to analyze the EMI performance of the optical transceiver modules and three EMI leakage points are identified from the optical i/o ports.
Proceedings ArticleDOI
Source Reconstruction in Near Field Scanning using Inverse MoM for RFI Application
TL;DR: In this article, a method of moment (MoM) based current reconstruction technique is used to reconstruct fields in all planes, especially in perpendicular planes, using given scanning information, and two intended radiators (a bowtie and a ring antenna) and one unintended radiator are used to validate the method.
Proceedings ArticleDOI
Causality Analyzing for Transmission Line with Surface Roughness
Xinglin Sun,Yuandong Guo,Yin Sun,Kaichen Song,Lingyun Ye,Xiaoning Ye,James L. Drewniak,Jun Fan +7 more
TL;DR: Comparisons of the received pulse responses after the transfer functions show that both methods can improve the causality of the wave propagation term significantly, whereas the analytical solution has better performances and the numerical method has some limitations.