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A new highly stable multifunctional two-dimensional Si 2 BN monolayer quantum material with a direct bandgap predicted by density functional theory.

Bezzerga DjamelNaouel ChelilSahnoun MohammedSergey GusarovGap Soo ChangMosayeb Naseri
Published in: Physical chemistry chemical physics : PCCP (2024)
In this work, we present a novel two-dimensional (2D) Si 2 BN structure (2D δ-Si 2 BN) predicted using density functional theory (DFT). The proposed structure exhibits a unique double quasi-planar layer interconnected by covalent bonds, demonstrating lower energy compared to the previously reported planar Si 2 BN nanosheet. Our calculations, conducted at the HSE06 level of theory, reveal its semiconductor nature with a direct band gap of 1.24 eV at the gamma point. The 2D material exhibits exceptional light absorption in the visible region, prompting an exploration of its potential in photovoltaic applications. Remarkably, our findings indicate a maximum theoretical efficiency of 27.6%, underscoring its promise for renewable energy technologies. Furthermore, employing modern polarization theory, we unveil the ferroelectric properties of the Si 2 BN monolayer. Notably, a large out-of-plane polarization is observed. It was found that the unstrained 2D δ-Si 2 BN monolayer demonstrates an impressive out-of-plane spontaneous electric polarization of 28.98 × 10 -10 C m -1 , a value six times greater than previously referenced Janus materials. This remarkable enhancement in ferroelectric capabilities positions the Si 2 BN monolayer as a promising candidate for applications in next generation novel information storage, nano-electronic, and optoelectronic devices. These findings not only contribute to the understanding of the structural and electronic properties of the 2D δ-Si 2 BN monolayer but also highlight its potential for various technological applications, marking a significant advancement in the field of nanomaterials.
Keyphrases
  • density functional theory
  • room temperature
  • molecular dynamics
  • healthcare
  • gene expression
  • drug delivery
  • genome wide
  • machine learning
  • cancer therapy
  • health information
  • quantum dots
  • energy transfer
  • social media