Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 159

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

An innovative way of etching MoS2: Characterization and mechanistic investigation

Open access
Huang, Yuan, Wu, Jing, Xu, Xiangfan, Ho, Yuda, Ni, Guangxin, Zou, Qiang, Koon, Gavin Kok Wai, Zhao, Weijie, Castro Neto, A. H., Eda, Goki, Shen, Chengmin, Özyilmaz, Barbaros·2013·Nano Research

Abstract

We report a systematic study of the etching of MoS2 crystals by using XeF2 as a gaseous reactant. By controlling the etching process, monolayer MoS2 with uniform morphology can be obtained. The Raman and photoluminescence spectra of the resulting material were similar to those of exfoliated MoS2. Utilizing this strategy, different patterns such as a Hall bar structure and a hexagonal array can be realized. Furthermore, the etching mechanism was studied by introducing graphene as an etching mask. We believe our technique opens an easy and controllable way of etching MoS2, which can be used to fabricate complex nanostructures, such as nanoribbons, quantum dots, and transistor structures. This etching process using XeF2 can also be extended to other interesting two-dimensional crystals.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12274-013-0296-8

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 159

Metadata

Authors
Huang, Y., Wu, J., Xu, X., Ho, Y., Ni, G., Zou, Q., Koon, G. K. W., Zhao, W., Castro Neto, A. H., Eda, G., Shen, C., & Özyilmaz, B.
Venue
Nano Research
Published
2013-02-21
Volume
6
Issue
3
Pages
200-207
ISSN
  • 1998-0000 (ISSN-L)
  • 1998-0124
OpenAlex
W2116294656
Cited by
159
References
3
FWCI
7.25
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An innovative way of etching MoS2: Characterization and mechanistic investigation. https://app.cochat.ai/papers/10.1007/s12274-013-0296-8
The paper
Huang, Y., Wu, J., Xu, X., Ho, Y., Ni, G., Zou, Q., Koon, G. K. W., Zhao, W., Castro Neto, A. H., Eda, G., Shen, C., & Özyilmaz, B. (2013). An innovative way of etching MoS2: Characterization and mechanistic investigation. Nano Research. https://doi.org/10.1007/s12274-013-0296-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.