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Calculation of Electron Energy Distribution Functions From Electron Swarm Parameters Using Artificial Neural Network in SF6 and Argon. (Tezcan, S. S.)
Bibliographical information (record 266885)
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Calculation of Electron Energy Distribution Functions From Electron Swarm Parameters Using Artificial Neural Network in SF6 and Argon.
Author:
 Tezcan, S. S. Search Author in Amazon Books

Publisher:
IEEE-Inst Electrical Electronics Engineers Inc.,
Edition:
 2010.
Classification:
 QC 21.3
URL:
http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/TPS.2010.2049588
Detailed notes
    - This paper proposes an artificial neural network (ANN) to obtain the electron energy distribution functions (EEDFs) in SF6 and argon from the following: 1) mean energies; 2) the drift velocities; and 3) other related swarm data. In order to obtain the required swarm data, the electron swarm behavior in SF6 and argon is analyzed over the range of the density-reduced electric field strength E/N from 50 to 800 Td from a Boltzmann equation analysis based on the finite difference method under a steady-state Townsend condition. A comparison between the EEDFs calculated by the Boltzmann equation and by ANN for various values of E/N suggests that the proposed ANN yields good agreement of EEDFs with those of the Boltzmann equation solution results.
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Status
Library
Section
EOL-1436
Item available
NEU Grand LibraryOnline (QC 21.3 .C35 2010)
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