The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Electromechanical Actuators Based on Graphene and Graphene/Fe3O4 Hybrid Paper
Abstract
Exceptionally high specific surface area, mechanical strength, electrical conductivity, and a special two‐dimensional structure make graphene a highly promising material for electromechanical actuators. Electromechanical actuators are fabricated using flexible graphene‐based paper prepared via a filtration process, and the stroke of these graphene‐based actuators is directly measured during electrochemical double‐layer charge injection. Actuation strain up to 0.064% was obtained for pristine graphene paper in response to an applied potential of –1 V in 1 M NaCl solution. Double‐layer charge injection in graphene sheets is believed to induce actuation strain through a combination of coulombic and quantum‐chemical‐based expansion. To increase electrochemical‐double‐layer capacitance and actuator performance, Fe 3 O 4 nanoparticles were used to partially prevent graphene sheets from restacking and allow the electrolyte ions to infiltrate the resulting magnetic graphene paper more easily. The magnetic graphene paper exhibits actuation strain as large as 0.1% at –1 V applied potential, which is about 56% higher than that of the pristine graphene paper.
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
Cites
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Fine Structure Constant Defines Visual Transparency of Graphene
Nair, R. R., Blake, P., Grigorenko, A. N., Novoselov, K. S., Booth, T. J., Stauber, T., Peres, N. M. R., & Geim, A. K. (2008) · Science · doi:10.1126/science.1156965 · Cited by 9,084
Strain-Based Temperature Memory Effect for Nafion and Its Molecular Origins
Xie, T., Page, K. A., & Eastman, S. A. (2011) · Advanced Functional Materials · doi:10.1002/adfm.201002579 · Cited by 170
Cited by
Wu, W., Wu, Z., Yu, T., Jiang, C., & Kim, W.-S. (2015) · Science and Technology of Advanced Materials · doi:10.1088/1468-6996/16/2/023501 · Cited by 1,574
Graphene-based smart materials
Yu, X., Cheng, H., Zhang, M., Zhao, Y., Qu, L., & Shi, G. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.46 · Cited by 796
Flexible graphene devices related to energy conversion and storage
Wang, X., & Shi, G. (2015) · Energy & Environmental Science · doi:10.1039/c4ee03685a · Cited by 373
Nanocomposites and macroscopic materials: assembly of chemically modified graphene sheets
Wu, D., Zhang, F., Liang, H., & Feng, X. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35179j · Cited by 296
Magnetic separation techniques in sample preparation for biological analysis: A review
He, J., Huang, M., Wang, D., Zhang, Z., & Li, G. (2014) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2014.04.017 · Cited by 275
Metadata
- Authors
- Liang, J., Huang, Y., Oh, J., Kozlov, M., Sui, D., Fang, S., Baughman, R. H., Ma, Y., & Chen, Y.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2011-08-15
- Volume
- 21
- Issue
- 19
- Pages
- 3778-3784
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W1994865550
- Cited by
- 189
- References
- 3
- FWCI
- 11.12
- 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: Electromechanical Actuators Based on Graphene and Graphene/Fe3O4 Hybrid Paper. https://app.cochat.ai/papers/10.1002/adfm.201101072
- The paper
- Liang, J., Huang, Y., Oh, J., Kozlov, M., Sui, D., Fang, S., Baughman, R. H., Ma, Y., & Chen, Y. (2011). Electromechanical Actuators Based on Graphene and Graphene/Fe3O4 Hybrid Paper. Advanced Functional Materials. https://doi.org/10.1002/adfm.201101072
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.