JOURNAL ARTICLE

Ultrahigh purity plasma-enhanced atomic layer deposition and electrical properties of epitaxial scandium nitride.

  • Published In: Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films, 2025, v. 43, n. 2. P. 1 1 of 3

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

  • Authored By: Rayner Jr., Gilbert B.; O'Toole, Noel; Liu, Bangzhi; Shallenberger, Jeffrey; Zhu, Jiadi; Palacios, Tomás; Behera, Piush; Cheema, Suraj; Johs, Blaine; Strnad, Nicholas A. 3 of 3

Abstract

This article focuses on the development and characterization of scandium nitride (ScN) thin films grown by plasma-enhanced atomic layer deposition (PEALD) using a novel precursor, bis(ethylcyclopentadienyl)scandium-chloride [ClSc(EtCp)₂], under ultrahigh purity conditions. ScN films were deposited on silicon (100), sapphire (0001), and magnesium oxide (001) substrates, with epitaxial, single-crystal cubic phase growth observed on sapphire and magnesium oxide, while polycrystalline films formed on silicon. The study identified an ALD temperature window between 200 and 215 °C, achieving films with near-stoichiometric nitrogen-to-scandium ratios and low impurity levels, and demonstrated good conformality in high aspect ratio silicon trenches. Electrical measurements showed that ScN films on MgO exhibited high electron mobility (298 cm²/V·s) and low resistivity (1.01 mΩ·cm), indicating potential for semiconductor applications.

Additional Information

  • Source:Journal of Vacuum Science & Technology: Part A-Vacuums, Surfaces & Films. 2025/03, Vol. 43, Issue 2, p1
  • Document Type:Letter
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:07342101
  • DOI:10.1116/6.0004180
  • Accession Number:183538206
  • 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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