Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,504

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

Quantum emission from hexagonal boron nitride monolayers

Open access
Tran, Toan Trong, Bray, Kerem, Ford, Michael J., Toth, Milos, Aharonovich, Igor·2016·Nature Nanotechnology

Abstract

Artificial atomic systems in solids are widely considered the leading physical system for a variety of quantum technologies, including quantum communications, computing and metrology. To date, however, room-temperature quantum emitters have only been observed in wide-bandgap semiconductors such as diamond and silicon carbide, nanocrystal quantum dots, and most recently in carbon nanotubes. Single-photon emission from two-dimensional materials has been reported, but only at cryogenic temperatures. Here, we demonstrate room-temperature, polarized and ultrabright single-photon emission from a colour centre in two-dimensional hexagonal boron nitride. Density functional theory calculations indicate that vacancy-related defects are a probable source of the emission. Our results demonstrate the unprecedented potential of van der Waals crystals for large-scale nanophotonics and quantum information processing.

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 · 10.1038/nnano.2015.242

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 1,504

Metadata

Authors
Tran, T. T., Bray, K., Ford, M. J., Toth, M., & Aharonovich, I.
Venue
Nature Nanotechnology
Published
2015-10-26
Volume
11
Issue
1
Pages
37-41
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W1506223212
Cited by
1,504
References
3
FWCI
30.78
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: Quantum emission from hexagonal boron nitride monolayers. https://app.cochat.ai/papers/10.1038/nnano.2015.242
The paper
Tran, T. T., Bray, K., Ford, M. J., Toth, M., & Aharonovich, I. (2016). Quantum emission from hexagonal boron nitride monolayers. Nature Nanotechnology. https://doi.org/10.1038/nnano.2015.242

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.