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October 17, 2025Open Access

Advancing the hBN Defects Database through Photophysical Characterization of Bulk hBN

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Authors

CCChanaprom CholsukSSSujin SuwannaTVTobias Vogl

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Overview

This work reveals photophysical properties of hBN defects, aiding in quantum emitter identification and machine learning applications.

Key Points

  • An extended database of hBN defects includes over 120 neutral defects with excited-state properties.
  • Defects were evaluated across charge states -2 to 2, revealing electron-phonon coupling influenced by vacancies.
  • Analysis shows HR factor strongly correlates with configuration coordinates of defects.
  • Database supports quantum materials research by providing accessible data for machine learning integration.

Cite This Study

Cholsuk et al. (2025) studied this question.

synapsesocial.com/papers/68f19f20de32064e504dde96https://doi.org/10.1039/d5tc02805a
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