Understanding the surface wave characteristics using 2D particle-in-cell simulation and deep neural network Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1063/5.0082954
The characteristics of the surface waves along the interface between a plasma and a dielectric material have been investigated using kinetic particle-in-cell 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
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0082954
- https://pubs.aip.org/aip/pop/article-pdf/doi/10.1063/5.0082954/16620317/062104_1_online.pdf
- OA Status
- bronze
- Cited By
- 2
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281769618
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281769618Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1063/5.0082954Digital Object Identifier
- Title
-
Understanding the surface wave characteristics using 2D particle-in-cell simulation and deep neural networkWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-01Full publication date if available
- Authors
-
Rinku Mishra, S. Adhikari, Rupak Mukherjee, B. J. SaikiaList of authors in order
- Landing page
-
https://doi.org/10.1063/5.0082954Publisher landing page
- PDF URL
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https://pubs.aip.org/aip/pop/article-pdf/doi/10.1063/5.0082954/16620317/062104_1_online.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
- OA URL
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https://pubs.aip.org/aip/pop/article-pdf/doi/10.1063/5.0082954/16620317/062104_1_online.pdfDirect OA link when available
- Concepts
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Physics, Microwave, Surface wave, Particle-in-cell, Plasma, Dielectric, Computational physics, Permittivity, Artificial neural network, Particle (ecology), Optics, Optoelectronics, Artificial intelligence, Computer science, Quantum mechanics, Geology, OceanographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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