English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The characteristics of the surface waves along the interface between a plasmaand a dielectric material have been investigated using kinetic Particle-In-Cell(PIC) simulations. A microwave source of GHz frequency has been used to triggerthe surface wave in the system. The outcome indicates that the surface wavegets excited along the interface of plasma and the dielectric tube and appearsas light and dark patterns in the electric field profiles. The dependency ofradiation pressure on the dielectric permittivity and supplied input frequencyhas been investigated. Further, we assessed the capabilities of neural networksto predict the radiation pressure for a given system. The proposed Deep NeuralNetwork model is aimed at developing accurate and efficient data-driven plasmasurface wave devices.

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