Understanding the surface wave characteristics using 2D particle-in-cell simulation and deep neural network

Autor:	Mishra, Rinku, Adhikari, Sayan, Mukherjee, Rupak, Saikia, B. J.
Rok vydání:	2021
Předmět:	Physics - Plasma Physics Physics - Computational Physics 76P05 76X05 68T07 J.2 I.6.5 I.2.6 G.3
Druh dokumentu:	Working Paper
DOI:	10.1063/5.0082954
Popis:	The characteristics of the surface waves along the interface between a plasma and a dielectric material have been investigated using kinetic Particle-In-Cell (PIC) simulations. A microwave source of GHz frequency has been used to trigger the surface wave in the system. The outcome indicates that the surface wave gets excited along the interface of plasma and the dielectric tube and appears as light and dark patterns in the electric field profiles. The dependency of radiation pressure on the dielectric permittivity and supplied input frequency has been investigated. Further, we assessed the capabilities of neural networks to predict the radiation pressure for a given system. The proposed Deep Neural Network model is aimed at developing accurate and efficient data-driven plasma surface wave devices. Comment: 22 pages, 11 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2112.06884 Zobrazit plný text záznamu View this record from Arxiv