Physics-informed deep neural network for inhomogeneous magnetized plasma parameter inversion

Y Zhang, H Fu, Y Qin, K Wang… - IEEE Antennas and …, 2022 - ieeexplore.ieee.org
Plasma parameter inversion is important for space plasma physics and applications,
particularly for inhomogeneous magnetized plasmas. A physics-informed deep neural …

A review of grid-based, time-domain modeling of electromagnetic wave propagation involving the ionosphere

K Niknam, JJ Simpson - IEEE Journal on Multiscale and …, 2021 - ieeexplore.ieee.org
The ionosphere plays a critical role in many electromagnetics applications, ranging from
long-distance communications to geolocation and satellite communications. As a result, it is …

EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas

Y Qin, H Fu, F Xu, Y Jin - IEEE Antennas and Wireless …, 2023 - ieeexplore.ieee.org
Electromagnetic (EM) wave propagation and inversion in complex time-varying medium is a
challenging problem, particularly for plasma applications. We extend the EM wave–plasma …

Distinctive features of Langmuir and ion‐acoustic turbulences induced by O‐and X‐mode HF pumping at EISCAT

NF Blagoveshchenskaya, TD Borisova… - Journal of …, 2020 - Wiley Online Library
We report experimental results regarding the distinctive features and behaviors of high‐
frequency (HF)‐induced Langmuir and ion‐acoustic turbulences induced by ordinary (O …

Propagation of terahertz waves in a magnetized, collisional, and inhomogeneous plasma with the scattering matrix method

Y Zhang, G Xu, Z Zheng - Optik, 2019 - Elsevier
The interaction between terahertz waves and a magnetized, collisional, and
inhomogeneous plasma is analyzed theoretically in this paper. Using the scattering matrix …

Data-driven discovery of partial differential equations for multiple-physics electromagnetic problem

B Xiong, H Fu, F Xu, Y Jin - arXiv preprint arXiv:1910.13531, 2019 - arxiv.org
Deriving governing equations in Electromagnetic (EM) environment based on first principles
can be quite tough when there are some unknown sources of noise and other uncertainties …

Neural network model for parameter inversion in electromagnetic wave and plasma interaction systems

Y Zhang, H Fu, Y Sui - IEEE Transactions on Plasma Science, 2020 - ieeexplore.ieee.org
A multiple regression and machine learning approach is proposed to solve multiple plasma
parameter inversion in complex systems. For an electromagnetic (EM) wave and plasma …

Ion Acoustic Shock Waves in a Magnetized, Cometary Plasma Containing Warm Ions

NT Willington, C Venugopal - IEEE Transactions on Plasma …, 2023 - ieeexplore.ieee.org
The formation of ion acoustic shock waves in a magnetized, anisotropic plasma has been
studied in a five-component, magnetized cometary plasma consisting of two components of …

Study on absorption characteristics of electromagnetic wave in thin plasma slab

JX Liu, YJ Liu, HW Yang - International Journal of Aeronautical and Space …, 2023 - Springer
The absorption characteristics of thin plasma slab are investigated by analyzing isotropy
plasma with different thicknesses. When the width of the plasma slab is sufficiently thin, the …

Distortion of a twisted beam passing through a plasma layer

D Nobahar, H Akou - Applied Optics, 2020 - opg.optica.org
In this paper, we explore what happens to the intensity profile, phase distribution, and
centroid position of a vortex beam (VB) when it passes through a cold collision-less …