Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 753

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Edge Nonlinear Optics on a MoS 2 Atomic Monolayer

Yin, Xiaobo, Ye, Ziliang, Chenet, Daniel A., Ye, Yu, O’Brien, Kevin, Hone, James C., Zhang, Xiang·2014·Science

Abstract

Optics On the Edge: The ability to isolate stable materials just one atom thick has provided the impetus for a new generation of thin films technologies. Often, the materials are conceptually imaged in the form of an artist's impression as single continuous layers—a single crystal sheet of atoms. Scanning probe and transmission electron microscopies reveal the reality, however, where the material resembles a patchwork quilt with polycrystals of different orientation and size separated by grain boundaries forming a mosaic. These structures play an influential role in determining the transport and optical properties of the membrane. Yin et al. (p. 488 ; see the Perspective by Neshev and Kivshar ) demonstrate a simple microscopy technique based on the nonlinear optical response of the materials to probe and characterize atomically thin layers of MoS 2 . The technique should prove useful during the characterization and optimization of atomically thin membranes.

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 · 10.1126/science.1250564

Cites

1 of 1 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 1 references

Cited by

See all 753

Metadata

Authors
Yin, X., Ye, Z., Chenet, D. A., Ye, Y., O’Brien, K., Hone, J. C., & Zhang, X.
Venue
Science
Published
2014-05-02
Volume
344
Issue
6183
Pages
488-490
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1992983484
Cited by
753
References
1
FWCI
33.36
Type
journal article
Language
en
Open access
closed

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: Edge Nonlinear Optics on a MoS 2 Atomic Monolayer. https://app.cochat.ai/papers/10.1126/science.1250564
The paper
Yin, X., Ye, Z., Chenet, D. A., Ye, Y., O’Brien, K., Hone, J. C., & Zhang, X. (2014). Edge Nonlinear Optics on a MoS 2 Atomic Monolayer. Science. https://doi.org/10.1126/science.1250564

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.