The DOI matches its Crossref record.
Friction Anisotropy–Driven Domain Imaging on Exfoliated Monolayer Graphene
Abstract
Otherwise identical regions of supported graphene can be distinguished by changes in friction with sliding direction.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
The evolving quality of frictional contact with graphene
Li, S., Li, Q., Carpick, R. W., Gumbsch, P., Liu, X. Z., Ding, X., Sun, J., & Li, J. (2016) · Nature · doi:10.1038/nature20135 · Cited by 541
Carbon nanomaterials in tribology
Zhai, W., Srikanth, N., Kong, L. B., & Zhou, K. (2017) · Carbon · doi:10.1016/j.carbon.2017.04.027 · Cited by 470
Synthesis and Photoresponse of Large GaSe Atomic Layers
Lei, S., Ge, L., Liu, Z., Najmaei, S., Shi, G., You, G., Lou, J., Vajtai, R., & Ajayan, P. M. (2013) · Nano Letters · doi:10.1021/nl4010089 · Cited by 454
Tribology of two-dimensional materials: From mechanisms to modulating strategies
Zhang, S., Ma, T., Erdemir, A., & Li, Q. (2019) · Materials Today · doi:10.1016/j.mattod.2018.12.002 · Cited by 407
Tuning friction to a superlubric state via in-plane straining
Zhang, S., Hou, Y., Li, S., Liu, L., Zhang, Z., Feng, X.-Q., & Li, Q. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1907947116 · Cited by 138
Metadata
- Authors
- Choi, J. S., Kim, J.-S., Byun, I.-S., Lee, D. H., Lee, M. J., Park, B. H., Lee, C., Yoon, D., Cheong, H., Lee, K. H., Son, Y.-W., Park, J. Y., & Salmeron, M.
- Venue
- Science
- Published
- 2011-07-29
- Volume
- 333
- Issue
- 6042
- Pages
- 607-610
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2084366961
- Cited by
- 328
- References
- 0
- FWCI
- 11.82
- 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: Friction Anisotropy–Driven Domain Imaging on Exfoliated Monolayer Graphene. https://app.cochat.ai/papers/10.1126/science.1207110
- The paper
- Choi, J. S., Kim, J.-S., Byun, I.-S., Lee, D. H., Lee, M. J., Park, B. H., Lee, C., Yoon, D., Cheong, H., Lee, K. H., Son, Y.-W., Park, J. Y., & Salmeron, M. (2011). Friction Anisotropy–Driven Domain Imaging on Exfoliated Monolayer Graphene. Science. https://doi.org/10.1126/science.1207110
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.
