Similarity Theory and Scaling Networks for Electromagnetic Wave-Driven Plasmas
Hanyang Li, Yulia Sharova, Denis Eremin, Yangyang Fu

TL;DR
This paper develops a generalized similarity theory for electromagnetic wave-driven plasmas, demonstrating scale-invariance and establishing scaling networks that relate plasma parameters across different sizes and conditions.
Contribution
It introduces a new scaling framework based on similarity laws for electromagnetic plasmas, extending previous theories into electromagnetic regimes.
Findings
Plasma uniformity remains consistent across scaled discharges.
Scaling networks effectively relate plasma parameters across conditions.
Theoretical framework extends similarity laws to electromagnetic plasma regimes.
Abstract
We demonstrate the scale-invariant behavior of electromagnetic wave-driven radio-frequency plasmas across different dimensional scales. Using two-dimensional electromagnetic particle-in-cell simulations, we show that plasma uniformity remains the same in similar discharges. Building on the concept of similarity laws, we develop scaling networks that effectively relate plasma parameters across varying operating conditions. These results establish a generalized similarity theory derived from the Boltzmann equation coupled with the full set of Maxwell equations, extending the theoretical framework of similarity laws into electromagnetic regimes.
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Taxonomy
TopicsPlasma Diagnostics and Applications · Ionosphere and magnetosphere dynamics · Dust and Plasma Wave Phenomena
