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Yongjun Xie

Researcher at Beihang University

Publications -  50
Citations -  132

Yongjun Xie is an academic researcher from Beihang University. The author has contributed to research in topics: Perfectly matched layer & Computer science. The author has an hindex of 4, co-authored 34 publications receiving 48 citations.

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Performance Enhanced Crank-Nicolson Boundary Conditions for EM Problems

TL;DR: Based upon the approximate Crank–Nicolson (CN) algorithms and the higher order (HO) concept, unconditionally stable perfectly matched layer (PML) implementations are proposed for electromagnetic problems in the finite-difference time-domain (FDTD) lattice.
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Complex Envelope Approximate CN-PML Algorithm With Improved Absorption

TL;DR: A unconditionally stable perfectly matched layer (PML) is proposed based on the Crank–Nicolson approximate-factorization-splitting (CNAFS) algorithm to simulate the bandpass problems in finite-difference time-domain lattice.
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ARCS: Active Radar Cross Section for Multi-Radiator Problems in Complex EM Environments

TL;DR: The results demonstrate that the proposed ARCS concept obtains better universality compared with the existing incoherent multi-radiator formulation and can be identical with the solution which is obtained by the single radar wave.
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Performance-Enhanced Complex Envelope ADI-PML for Bandpass EM Simulation

TL;DR: Based on the alternating direction implicit (ADI) procedure, the complex envelope (CE) method, and the higher order (HO) concept, an unconditionally stable performanceenhanced convolutional perfectly matched layer (CPML) is proposed to efficiently simulate bandpass electromagnetic (EM) devices and signals in the finite-difference time-domain (FDTD) lattice.
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Different implementations of material independent multi-order nearly perfectly matched layers for EM simulations

TL;DR: To deal with EM simulations with the low‐frequency evanescent and propagation waves, multi‐order nearly perfectly matched layers (NPML) with complex frequency shifted factor are presented to terminate finite‐difference time‐domain (FDTD) domains.