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Quantify point defects in monolayer tungsten diselenide.

Sujuan Ding1,2, Fang Lin3, Chuanhong Jin1,2

  • 1Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, Hunan 411105, People's Republic of China.

Nanotechnology
|March 15, 2021
PubMed
Summary

Point defects in two-dimensional tungsten diselenide (WSe2) monolayers were quantified. Selenium mono-vacancies are the dominant defect, with concentrations varying by preparation method: chemical vapor deposition (CVD), mechanical exfoliation (ME), and molecular beam epitaxy (MBE).

Keywords:
ADF-STEMWSe2intrinsic point defects

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Point defects critically impact the electrical and optoelectronic properties of 2D materials like tungsten diselenide (WSe2).
  • Accurate characterization of point defect species and concentrations in monolayer WSe2 (ML-WSe2) is challenging but essential for controlling material properties.

Purpose of the Study:

  • To quantitatively analyze intrinsic point defects in ML-WSe2 prepared by mechanical exfoliation (ME), chemical vapor deposition (CVD), and molecular beam epitaxy (MBE).
  • To establish a baseline understanding of defect distribution across different synthesis methods for 2D materials.

Main Methods:

  • Utilized atomic-resolution annular dark-field scanning transmission electron microscopy (ADF-STEM) for imaging.
  • Employed software for automated defect identification and counting.
  • Integrated image simulations for quantitative defect analysis.

Main Results:

  • Identified seven types of intrinsic point defects in ML-WSe2, with selenium mono-vacancies (VSe) being the most prevalent across all methods.
  • Quantified defect concentrations, revealing CVD-grown ML-WSe2 as the most defective (1.48% VSe), followed by ME (~0.85% VSe) and MBE (~0.49% VSe).
  • Demonstrated method-dependent variations in defect type and concentration.

Conclusions:

  • Provided preliminary quantitative data on point defects in ML-WSe2, serving as a reference for controlled synthesis.
  • Highlighted the importance of preparation methods in determining defect profiles.
  • Aimed to facilitate structure-property relationship studies in 2D transition-metal dichalcogenides.