Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published January 2019 | public
Journal Article Open

Spatially selective reversible charge carrier density tuning in WS_2 monolayers via photochlorination

Abstract

Chlorine-doped tungsten disulfide monolayer (1L-WS_2) with tunable charge carrier concentration has been realized by pulsed laser irradiation of the atomically thin lattice in a precursor gas atmosphere. This process gives rise to a systematic shift of the neutral exciton peak towards lower energies, indicating reduction of the crystal's electron density. The capability to progressively tune the carrier density upon variation of the exposure time is demonstrated; this indicates that the Fermi level shift is directly correlated to the respective electron density modulation due to the chlorine species. Notably, this electron withdrawing process enabled the determination of the trion binding energy of the intrinsic crystal, found to be as low as 20 meV, in accordance to theoretical predictions. At the same time, it is found that the effect can be reversed upon continuous wave laser scanning of the monolayer in air. Scanning auger microscopy (SAM) and x-ray photoelectron spectroscopy (XPS) are used to link the actual charge carrier doping to the different chlorine configurations in the monolayer lattice. The spectroscopic analyses, complemented by density functional theory calculations, reveal that chlorine physisorption is responsible for the carrier density modulation induced by the pulsed laser photochemical reaction process. Such bidirectional control of the Fermi level, coupled with the capability offered by lasers to process at pre-selected locations, can be advantageously used for spatially resolved doping modulation in 1L-WS_2 with micrometric resolution. This method can also be extended for the controllable doping of other TMD monolayers.

Additional Information

© 2018 IOP Publishing Ltd. Received 31 July 2018; Accepted 26 September 2018; Accepted Manuscript online 26 September 2018; Published 17 October 2018. This work is supported by the European Research Infrastructure NFFA-Europe, funded by EU's H2020 framework program for research and innovation under grant agreement n. 654360. YL was supported by a Resnick Prize Postdoctoral Fellowship at Caltech. WAG and YL were also supported by DOE DESC0014607. This work used computational resources sponsored by the DOE's Office of Energy Efficiency and Renewable Energy and located at the National Renewable Energy Laboratory, and the Texas Advanced Computing Center (TACC) at UT Austin.

Files

1334-WS2_Μonolayers-YuanyueLiu.pdf
Files (4.0 MB)
Name Size Download all
md5:8bd469fbf5e2cd595228b381c9a267f1
4.0 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023