4.8 Article

Eliminating Trap-States and Functionalizing Vacancies in 2D Semiconductors by Electrochemistry

Journal

SMALL
Volume 15, Issue 47, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.201901899

Keywords

defects; electrochemistry; grand-canonical DFT calculations; 2D semiconductors

Funding

  1. Welch Foundation [F-1959-20180324]
  2. National Science Foundation [1900039]
  3. DOE's Office of EERE
  4. Center for Nanoscale Materials (a DOE Office of Science user facility) at Argonne National Lab [DE-AC02-06CH11357]
  5. Extreme Science and Engineering Discovery Environment (XSEDE) [TG-CHE190065]
  6. Division Of Chemistry
  7. Direct For Mathematical & Physical Scien [1900039] Funding Source: National Science Foundation

Ask authors/readers for more resources

One major challenge that limits the applications of 2D semiconductors is the detrimental electronic trap states caused by vacancies. Here using grand-canonical density functional theory calculations, a novel approach is demonstrated that uses aqueous electrochemistry to eliminate the trap states of the vacancies in 2D transition metal dichalcogenides while leaving the perfect part of the material intact. The success of this electrochemical approach is based on the selectivity control by the electrode potential and the isovalence between oxygen and chalcogen. Motivated by these results, electrochemical conditions are further identified to functionalize the vacancies by incorporating various single metal atoms, which can bring in magnetism, tune carrier concentration/polarity, and/or activate single-atom catalysis, enabling a wide range of potential applications. These approaches may be generalized to other 2D materials. The results open up a new avenue for improving the properties and extending the applications of 2D materials.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available