Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mustafa Sezai Dincer"'
Publikováno v:
AIP Advances, Vol 8, Iss 9, Pp 095026-095026-10 (2018)
In the E/N range from 150 to 400 Td (1 Td = 10-17 Vcm2), the combination of crossed magnetic fields resulting in avalanche growth inhibition in nitrogen are evaluated by means of a Monte Carlo simulation. The simulation technique employed analysis sw
Externí odkaz:
https://doaj.org/article/4f3b5784e8a14afd9b8cb1120cbfba76
Publikováno v:
Energies, Vol 11, Iss 12, p 3247 (2018)
Ultra-dilute SF6 + N2 mixtures are subjected to crossed fields with the applied magnetic field normal to the electric field in order to investigate critical magnetic field values for suppression of electron avalanche growth resulting in increased die
Externí odkaz:
https://doaj.org/article/d2554f972be240db9d3b712d96289666
Publikováno v:
IEEE Transactions on Plasma Science. 50:3644-3651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9433cfa4f2553b67cf1c7956b5299936
https://doi.org/10.1109/tps.2022.3208190
https://doi.org/10.1109/tps.2022.3208190
Publikováno v:
Energies, Vol 11, Iss 12, p 3247 (2018)
Energies
Volume 11
Issue 12
Energies
Volume 11
Issue 12
Ultra-dilute SF6 + N2 mixtures are subjected to crossed fields with the applied magnetic field normal to the electric field in order to investigate critical magnetic field values for suppression of electron avalanche growth resulting in increased die
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4274fb18bda20e58df014701a04a00ae
https://www.mdpi.com/1996-1073/11/12/3247
https://www.mdpi.com/1996-1073/11/12/3247
Publikováno v:
AIP Advances, Vol 8, Iss 9, Pp 095026-095026-10 (2018)
In the E/N range from 150 to 400 Td (1 Td = 10-17 Vcm2), the combination of crossed magnetic fields resulting in avalanche growth inhibition in nitrogen are evaluated by means of a Monte Carlo simulation. The simulation technique employed analysis sw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b49306d4cde8de2f1948a7b66a3c399
https://doaj.org/article/4f3b5784e8a14afd9b8cb1120cbfba76
https://doaj.org/article/4f3b5784e8a14afd9b8cb1120cbfba76
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 th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a53813e09ac67b6a8fcd6cce9c1d4ef
https://avesis.gazi.edu.tr/publication/details/61ba01ee-3fbe-4239-a08a-ad14de393693/oai
https://avesis.gazi.edu.tr/publication/details/61ba01ee-3fbe-4239-a08a-ad14de393693/oai
