JOURNAL ARTICLE

Understanding ion and atom fluxes during high-power impulse magnetron sputtering deposition of NbCx films from a compound target.

  • Published In: Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films, 2023, v. 41, n. 6. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Farahani, M.; Kozák, T.; Pajdarová, A. D.; Bahr, A.; Riedl, H.; Zeman, P. 3 of 3

Abstract

This article investigates the transport processes of ions and atoms during high-power impulse magnetron sputtering (HiPIMS) of niobium carbide (NbCx) films from a stoichiometric NbC compound target under varying pulse conditions. Using time-averaged mass spectroscopy (MS), optical emission spectroscopy (OES), and plasma transport modeling, the study reveals that increasing pulse power density enhances electron density and ionization, leading to a transition from carbon-rich to niobium-rich fluxes reaching the substrate. The findings show that niobium ions, particularly Nb+ and Nb2+, dominate the ion flux due to their lower ionization energy and higher ionization cross section compared to carbon ions, whose contribution is negligible. The combined diagnostics and modeling suggest that changes in film composition arise from altered transport dynamics, including scattering effects of heavier niobium species on carbon atoms, rather than from sputtering yields alone. These insights contribute to understanding and controlling film stoichiometry in HiPIMS deposition from compound targets.

Additional Information

  • Source:Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films. 2023/12, Vol. 41, Issue 6, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2023
  • ISSN:07342101
  • DOI:10.1116/6.0002944
  • Accession Number:173977140
  • Copyright Statement:Copyright of Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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