4.6 Article

On how to measure the probabilities of target atom ionization and target ion back-attraction in high-power impulse magnetron sputtering

Journal

JOURNAL OF APPLIED PHYSICS
Volume 129, Issue 3, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0036902

Keywords

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Funding

  1. Free State of Saxony
  2. European Regional Development Fund [100336119]
  3. Icelandic Research Fund [130029, 196141]
  4. Swedish Research Council [VR 2018-04139]
  5. Swedish Government Strategic Research Area in Materials Science on Functional Materials at Linkoping University [2009-00971]

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HiPIMS is a technique that provides a high ionized target species flux for thin film growth, but optimization can be challenging due to the unclear influence of external parameters. A simple method has been proposed to deduce internal discharge parameters based on measured deposition rates, and this approach has been validated using a refined analytical model.
High-power impulse magnetron sputtering (HiPIMS) is an ionized physical vapor deposition technique that provides a high flux of ionized target species for thin film growth. Optimization of HiPIMS processes is, however, often difficult, since the influence of external process parameters, such as working gas pressure, magnetic field strength, and pulse configuration, on the deposition process characteristics is not well understood. The reason is that these external parameters are only indirectly connected to the two key flux parameters, the deposition rate and ionized flux fraction, via two internal discharge parameters: the target atom ionization probability alpha (t) and the target ion back-attraction probability beta (t). Until now, it has been difficult to assess alpha (t) and beta (t) without resorting to computational modeling, which has hampered knowledge-based optimization. Here, we present a simple method to deduce alpha (t) and beta (t) based on measured deposition rates of neutrals and ions. The core of the method is a refined analytical model, which is described in detail. This approach is furthermore validated by independent calculations of alpha (t) and beta (t) using the considerably more complex ionization region model, which is a plasma-chemical global discharge model.

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