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Condensed Matter > Materials Science

arXiv:2505.21143 (cond-mat)
[Submitted on 27 May 2025]

Title:Optically detected magnetic resonance of wafer-scale hexagonal boron nitride thin films

Authors:Sam C. Scholten, Jakub Iwański, Kaijian Xing, Johannes Binder, Aleksandra K. Dąbrowska, Hark H. Tan, Tin S. Cheng, Jonathan Bradford, Christopher J. Mellor, Peter H. Beton, Sergei V. Novikov, Jan Mischke, Sergej Pasko, Emre Yengel, Alexander Henning, Simonas Krotkus, Andrzej Wysmołek, Jean-Philippe Tetienne
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Abstract:Hexagonal boron nitride (hBN) has recently been shown to host native defects exhibiting optically detected magnetic resonance (ODMR) with applications in nanoscale magnetic sensing and imaging. To advance these applications, deposition methods to create wafer-scale hBN films with controlled thicknesses are desirable, but a systematic study of the ODMR properties of the resultant films is lacking. Here we perform ODMR measurements of thin films (3-2000nm thick) grown via three different methods: metal-organic chemical vapour deposition (MOCVD), chemical vapour deposition (CVD), and molecular beam epitaxy (MBE). We find that they all exhibit an ODMR response, including the thinnest 3nm film, albeit with different characteristics. The best volume-normalised magnetic sensitivity obtained is 30uT/sqrt(Hz um^3). We study the effect of growth temperature on a series of MOCVD samples grown under otherwise fixed conditions and find 800-900C to be an optimum range for magnetic sensitivity, with a significant improvement (up to two orders of magnitude) from post-growth annealing. This work provides a useful baseline for the magnetic sensitivity of hBN thin films deposited via standard methods and informs the feasibility of future sensing applications.
Subjects: Materials Science (cond-mat.mtrl-sci); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Cite as: arXiv:2505.21143 [cond-mat.mtrl-sci]
  (or arXiv:2505.21143v1 [cond-mat.mtrl-sci] for this version)
  https://doi.org/10.48550/arXiv.2505.21143
arXiv-issued DOI via DataCite

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From: Sam Scholten [view email]
[v1] Tue, 27 May 2025 12:55:49 UTC (3,574 KB)
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