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Particle-in-cell simulations of the ionization process in microwave argon microplasmas
The importance of microwave device reliability and performance for microscale devices motivates a more fundamental understanding of breakdown mechanisms in this regime. Microwave breakdown theories predict breakdown when electron production balances electron loss. Electron production depends strongl...
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Published in: | Journal of applied physics 2023-09, Vol.134 (10) |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The importance of microwave device reliability and performance for microscale devices motivates a more fundamental understanding of breakdown mechanisms in this regime. Microwave breakdown theories predict breakdown when electron production balances electron loss. Electron production depends strongly on the ionization rate
ν
i; however, previous studies either used the measured
ν
i in macroscale gaps or the empirical formula for DC voltage, inaccurately predicting
ν
i in microscale gaps. Alternatively, this work characterizes
ν
i in microwave microplasmas by using particle-in-cell simulations. We calculated
ν
i in argon gas at atmospheric pressure for 2–10 μm gaps under AC fields ranging from 1 to 1000 GHz. The behavior of
ν
i may be separated into two regimes by defining a critical frequency
f
c
r that depends on the amplitude of the applied voltage, gap distance, and pressure. For frequency
f
<
f
c
r, the electrodes collect the electrons during each cycle and the electron number oscillates with the electric field, causing
ν
i
/
f to roughly scale with the reduced effective field
E
e
f
f
/
p. For
f
>
f
c
r, the phase-space plots indicate that the electrons are confined inside the gap, causing the electron number to grow exponentially and
v
i
/
p to become a function of
E
e
f
f
/
p. These results elucidate the ionization mechanism for AC fields at microscale gap distances and may be incorporated into field emission-driven microwave breakdown theories to improve their predictive capability. |
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ISSN: | 0021-8979 1089-7550 |
DOI: | 10.1063/5.0161880 |