Characterization of laser-induced plasmas by emission spectroscopy with curve-of-growth measurements. Part I: Temporal evolution of plasma parameters and self-absorption

2008 ◽  
Vol 63 (7) ◽  
pp. 784-792 ◽  
Author(s):  
J.A. Aguilera ◽  
C. Aragón
Keyword(s):  
Emission Spectroscopy ◽  
Temporal Evolution ◽  
Plasma Parameters

Characterization of plasma parameters in shaped PBX-M discharges

1997 ◽  
Vol 39 (9) ◽  
pp. 1373-1388 ◽  
Author(s):  
A C England ◽  
R E Bell ◽  
S P Hirshman ◽  
R Kaita ◽  
H W Kugel ◽  
...  
Keyword(s):  
Plasma Parameters

Characterization of a Plasma Jet Flow Using Emission Spectroscopy and Laser-Induced Breakdown Velocimetry

2022 ◽  
Author(s):  
Killian E. Samuels ◽  
Aleksander Clark ◽  
Walker McCord ◽  
Seth Holladay ◽  
Zhili Zhang ◽  
...  
Keyword(s):  
Emission Spectroscopy ◽  
Plasma Jet ◽  
Jet Flow ◽  
Laser Induced Breakdown

scholarly journals Machine Learning Prediction of Electron Density and Temperature from Optical Emission Spectroscopy in Nitrogen Plasma

Coatings ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1221
Author(s):  
Jun-Hyoung Park ◽  
Ji-Ho Cho ◽  
Jung-Sik Yoon ◽  
Jung-Ho Song
Keyword(s):  
Machine Learning ◽  
Electron Temperature ◽  
Real Time ◽  
Electron Density ◽  
Emission Spectroscopy ◽  
Optical Emission Spectroscopy ◽  
Optical Emission ◽  
Plasma Parameters ◽  
Plasma Nitridation

We present a non-invasive approach for monitoring plasma parameters such as the electron temperature and density inside a radio-frequency (RF) plasma nitridation device using optical emission spectroscopy (OES) in conjunction with multivariate data analysis. Instead of relying on a theoretical model of the plasma emission to extract plasma parameters from the OES, an empirical correlation was established on the basis of simultaneous OES and other diagnostics. Additionally, we developed a machine learning (ML)-based virtual metrology model for real-time Te and ne monitoring in plasma nitridation processes using an in situ OES sensor. The results showed that the prediction accuracy of electron density was 97% and that of electron temperature was 90%. This method is especially useful in plasma processing because it provides in-situ and real-time analysis without disturbing the plasma or interfering with the process.

Tuning the Electrochemical and Photophysical Properties of Osmium-Based Photoredox Catalysts

Synlett ◽  
2022 ◽  
Author(s):  
Eva Bednářová ◽  
Logan R. Beck ◽  
Tomislav Rovis ◽  
Samantha L. Goldschmid ◽  
Katherine Xie ◽  
...  
Keyword(s):  
Ground State ◽  
Emission Spectroscopy ◽  
Near Infrared ◽  
Photophysical Properties ◽  
Low Energy ◽  
Redox Potentials ◽  
Nir Light ◽  
Osmium Complexes ◽  
Absorption And Emission Spectroscopy

AbstractThe use of low-energy deep-red (DR) and near-infrared (NIR) light to excite chromophores enables catalysis to ensue across barriers such as materials and tissues. Herein, we report the detailed photophysical characterization of a library of OsII polypyridyl photosensitizers that absorb low-energy light. By tuning ligand scaffold and electron density, we access a range of synthetically useful excited state energies and redox potentials.1 Introduction1.1 Scope1.2 Measuring Ground-State Redox Potentials1.3 Measuring Photophysical Properties1.4 Synthesis of Osmium Complexes2 Properties of Osmium Complexes2.1 Redox Potentials of Os(L)2-Type Complexes2.2 Redox Potentials of Os(L)3-Type Complexes2.3 UV/Vis Absorption and Emission Spectroscopy3 Conclusions

Characterization of Magnetization Dynamics using Terahertz Emission Spectroscopy

2007 ◽  
pp. 793-795
Author(s):  
James M. Schleicher ◽  
Shayne M. Harrel ◽  
Charles A. Schmuttenmaer ◽  
Eric Beaurepaire ◽  
Jean-Yves Bigot
Keyword(s):  
Emission Spectroscopy ◽  
Magnetization Dynamics ◽  
Terahertz Emission ◽  
Terahertz Emission Spectroscopy
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