journal article·2019-11Open access

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

Jianjian Shi, Xunhua Zhao, Zhiguo Wang, Yuanyue Liu

Small· Volume 15· Issue 47

Abstract

Abstract 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: 2D Materials and Applications · Advanced Photocatalysis Techniques · Graphene research and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Texas Materials Institute and Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 USA

School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu 610054 China

Funding

Welch Foundation · National Science Foundation · National Renewable Energy Laboratory · U.S. Department of Energy

References (25)

Show source-provided references
1. 10.1039/C5CS00507H10.1039/C5CS00507H ↗
2. 10.1088/2053-1583/aaf83610.1088/2053-1583/aaf836 ↗
3. 10.1021/jacs.7b0444310.1021/jacs.7b04443 ↗
4. 10.1021/jacs.7b0486510.1021/jacs.7b04865 ↗
5. 10.1002/smll.20170089410.1002/smll.201700894 ↗
6. 10.1103/PhysRevB.91.12530410.1103/PhysRevB.91.125304 ↗
7. 10.1038/ncomms729310.1038/ncomms7293 ↗
8. 10.1021/acsnano.8b0948410.1021/acsnano.8b09484 ↗
9. 10.1002/anie.20150882810.1002/anie.201508828 ↗
10. 10.1088/2053-1583/3/2/02200210.1088/2053-1583/3/2/022002 ↗
11. 10.1103/PhysRevApplied.7.03401110.1103/PhysRevApplied.7.034011 ↗
12. 10.1038/s41565-018-0089-z10.1038/s41565-018-0089-z ↗
13. 10.1039/C5EE00751H10.1039/C5EE00751H ↗
14. 10.1016/j.joule.2018.06.01910.1016/j.joule.2018.06.019 ↗
15. 10.1038/nchem.274010.1038/nchem.2740 ↗
16. 10.7567/JJAP.56.04CP0610.7567/JJAP.56.04CP06 ↗
17. 10.1021/acsnano.7b0416210.1021/acsnano.7b04162 ↗
18. 10.1126/science.aad211410.1126/science.aad2114 ↗
19. 10.1021/acs.nanolett.6b0053610.1021/acs.nanolett.6b00536 ↗
20. 10.1021/acs.nanolett.5b0095210.1021/acs.nanolett.5b00952 ↗
21. 10.1063/1.497841110.1063/1.4978411 ↗
22. 10.1021/jacs.8b0300210.1021/jacs.8b03002 ↗
23. 10.1016/j.softx.2017.10.00610.1016/j.softx.2017.10.006 ↗
24. 10.1016/j.commatsci.2013.08.05310.1016/j.commatsci.2013.08.053 ↗
25. 10.1063/1.490773110.1063/1.4907731 ↗