Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 699

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Atomic-scale control of graphene magnetism by using hydrogen atoms

Open access
González-Herrero, Héctor, Gómez-Rodríguez, José M., Mallet, Pierre, Moaied, Mohamed, Palacios, Juan José, Salgado, Carlos, Ugeda, Miguel M., Veuillen, Jean-Yves, Yndurain, Félix, Brihuega, Iván·2016·Science

Abstract

Hydrogen atom makes graphene magnetic: Graphene has many extraordinary mechanical and electronic properties, but it's not magnetic. To make it so, the simplest strategy is to modify its electronic structure to create unpaired electrons. Researchers can do that by, for example, removing individual carbon atoms or adsorbing hydrogen onto graphene. This has to be done in a very controlled way because of a peculiarity of the graphene's crystal lattice, which consists of two sublattices. Gonzales-Herrero et al. deposited a single hydrogen atom on top of graphene and used scanning tunneling microscopy to detect magnetism on the sublattice lacking the deposited atom (see the Perspective by Hollen and Gupta). Science , this issue p. 437 ; see also p. 415

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.aad8038

Cites

47 of 47 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 47 references

Metadata

Authors
González-Herrero, H., Gómez-Rodríguez, J. M., Mallet, P., Moaied, M., Palacios, J. J., Salgado, C., Ugeda, M. M., Veuillen, J.-Y., Yndurain, F., & Brihuega, I.
Venue
Science
Published
2016-04-22
Volume
352
Issue
6284
Pages
437-441
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2337667629
Cited by
699
References
47
FWCI
39.44
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: Atomic-scale control of graphene magnetism by using hydrogen atoms. https://app.cochat.ai/papers/10.1126/science.aad8038
The paper
González-Herrero, H., Gómez-Rodríguez, J. M., Mallet, P., Moaied, M., Palacios, J. J., Salgado, C., Ugeda, M. M., Veuillen, J.-Y., Yndurain, F., & Brihuega, I. (2016). Atomic-scale control of graphene magnetism by using hydrogen atoms. Science. https://doi.org/10.1126/science.aad8038

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.