Accelerated real-time plasma diagnostics: Integrating argon collisional-radiative model with machine learning methods-Reference-Cited by-同舟云学术

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Accelerated real-time plasma diagnostics: Integrating argon collisional-radiative model with machine learning methods

Published:2024-05 Issue: Volume:215 Page:106909
ISSN:0584-8547
Container-title:Spectrochimica Acta Part B: Atomic Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part B: Atomic Spectroscopy

Author:

Srikar P.S.N.S.R.,Suresh Indhu,Gangwar R.K.

Funder

CSIR

BRNS

Science and Engineering Research Board

Publisher

Elsevier BV

Reference43 articles.

1. Diagnostic techniques for non thermal plasma-surface interactions at atmospheric pressure: A review;Guaitella;Front. Chem. Sci. Eng.,2019

2. Feasibility of surface dielectric barrier discharge in wastewater treatment: spectroscopic modeling, diagnostic, and dye mineralization;Allabakshi;Sep. Purif. Technol.,2022

3. Spectroscopic diagnostics of low-pressure inductively coupled Kr plasma using a collisional-radiative model with fully relativistic cross sections;Gangwar;Plasma Sources Sci. Technol.,2016

4. Removal of fine and ultrafine particles from air by microelectrostatic precipitation;Mermigkas;IEEE Trans. Plasma Sci.,2013

5. Sterilization of microorganisms contaminated surfaces and its treatment with dielectric barrier discharge plasma;Sharma;Transac. Indian Nat. Acad. Eng.,2020

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1. Determination of the electron temperature and electron density in reduced pressure hydrogen peroxide (H2O2) discharge;The Journal of Chemical Physics;2024-08-13

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