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Novel two-dimensional boron oxynitride predicted using the USPEX evolutionary algorithm.

Zakhar I Popov1, Kseniya A Tikhomirova1,2, Victor A Demin1

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Researchers explored oxygen doping in hexagonal boron nitride (h-BN), predicting new 2D boron oxynitride structures. These novel materials exhibit semiconducting properties and enhanced stability, offering tunable electronic and optical characteristics.

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Oxidation significantly alters material properties.
  • Doping hexagonal boron nitride (h-BN) with oxygen is crucial for creating novel 2D materials with tailored electronic properties.
  • The precise atomic structural changes during h-BN oxidation remain unclear.

Purpose of the Study:

  • To predict novel two-dimensional (2D) boron oxynitride structures using computational methods.
  • To investigate the structural, electronic, and optical properties of these new materials.
  • To assess the stability and potential applications of oxygen-doped h-BN.

Main Methods:

  • Utilized the evolutionary algorithm USPEX for crystal structure prediction.
  • Performed molecular dynamics and phonon calculations to assess dynamical stability.
  • Calculated electronic band structures and optical absorption spectra.

Main Results:

  • Predicted novel 2D boron oxynitride structures with semiconducting properties and reduced bandgaps compared to h-BN.
  • Confirmed the dynamical stability of the predicted B5N3O2 phase.
  • Observed a redshift in the optical absorption spectrum and identified local dipole moments, suggesting potential piezoelectric properties.

Conclusions:

  • Oxygen incorporation into 2D BN dramatically modifies its covalent network while maintaining 2D characteristics.
  • The predicted boron oxynitride phases are dynamically stable and exhibit tunable electronic and optical properties.
  • These findings open avenues for developing advanced 2D materials with enhanced electronic and piezoelectric functionalities.