Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 345

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Graphene-Based Atomic-Scale Switches

Standley, Brian, Bao, Wenzhong, Zhang, Hang, Bruck, Jehoshua, Lau, Chun Ning, Bockrath, Marc·2008·Nano Letters

Abstract

Graphene's remarkable mechanical and electrical properties, combined with its compatibility with existing planar silicon-based technology, make it an attractive material for novel computing devices. We report the development of a nonvolatile memory element based on graphene break junctions. Our devices have demonstrated thousands of writing cycles and long retention times. We propose a model for device operation based on the formation and breaking of carbon atomic chains that bridge the junctions. We demonstrate information storage based on the concept of rank coding, in which information is stored in the relative conductance of graphene switches in a memory cell.

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 · 10.1021/nl801774a

Cites

6 of 6 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 6 references

Cited by

See all 345

Metadata

Authors
Standley, B., Bao, W., Zhang, H., Bruck, J., Lau, C. N., & Bockrath, M.
Venue
Nano Letters
Published
2008-08-26
Volume
8
Issue
10
Pages
3345-3349
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W1963525132
Cited by
345
References
6
FWCI
13.47
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: Graphene-Based Atomic-Scale Switches. https://app.cochat.ai/papers/10.1021/nl801774a
The paper
Standley, B., Bao, W., Zhang, H., Bruck, J., Lau, C. N., & Bockrath, M. (2008). Graphene-Based Atomic-Scale Switches. Nano Letters. https://doi.org/10.1021/nl801774a

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.