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

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Rinku Mishra , S. Adhikari , Rupak Mukherjee , B. J. Saikia ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2112.06884

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.

Related Topics

Surface Acoustic Wave

Computational Physics

Artificial Intelligence

Concepts

Microwave Surface wave Dielectric Materials science Plasma Particle-in-cell Permittivity Artificial neural network Interface (matter) Particle (ecology) Surface acoustic wave Computational physics Optoelectronics Optics Acoustics Computer science Physics Artificial intelligence Telecommunications Composite material Quantum mechanics Capillary number Capillary action Oceanography Geology

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2112.06884
PDF: https://arxiv.org/pdf/2112.06884
OA Status: green
References: 37
Related Works: 10
OpenAlex ID: https://openalex.org/W4225904070

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DOI: https://doi.org/10.48550/arxiv.2112.06884

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

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-12-13

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Authors: Rinku Mishra, S. Adhikari, Rupak Mukherjee, B. J. Saikia

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Landing page: https://arxiv.org/abs/2112.06884

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PDF URL: https://arxiv.org/pdf/2112.06884

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Concepts: Microwave, Surface wave, Dielectric, Materials science, Plasma, Particle-in-cell, Permittivity, Artificial neural network, Interface (matter), Particle (ecology), Surface acoustic wave, Computational physics, Optoelectronics, Optics, Acoustics, Computer science, Physics, Artificial intelligence, Telecommunications, Composite material, Quantum mechanics, Capillary number, Capillary action, Oceanography, Geology

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References (count): 37

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