The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Graphene-on-Paper Sound Source Devices
Abstract
We demonstrate an interesting phenomenon that graphene can emit sound. The application of graphene can be expanded in the acoustic field. Graphene-on-paper sound source devices are made by patterning graphene on paper substrates. Three graphene sheet samples with the thickness of 100, 60, and 20 nm were fabricated. Sound emission from graphene is measured as a function of power, distance, angle, and frequency in the far-field. The theoretical model of air/graphene/paper/PCB board multilayer structure is established to analyze the sound directivity, frequency response, and efficiency. Measured sound pressure level (SPL) and efficiency are in good agreement with theoretical results. It is found that graphene has a significant flat frequency response in the wide ultrasound range 20-50 kHz. In addition, the thinner graphene sheets can produce higher SPL due to its lower heat capacity per unit area (HCPUA). The infrared thermal images reveal that a thermoacoustic effect is the working principle. We find that the sound performance mainly depends on the HCPUA of the conductor and the thermal properties of the substrate. The paper-based graphene sound source devices have highly reliable, flexible, no mechanical vibration, simple structure and high performance characteristics. It could open wide applications in multimedia, consumer electronics, biological, medical, and many other areas.
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
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
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
Two-Dimensional Phonon Transport in Supported Graphene
Seol, J. H., Jo, I., Moore, A. L., Lindsay, L., Aitken, Z. H., Pettes, M. T., Li, X., Yao, Z., Huang, R., Broido, D., et al. (2010) · Science · doi:10.1126/science.1184014 · Cited by 1,926
Cited by
Flexible Hybrid Electronics for Digital Healthcare
Ma, Y., Zhang, Y., Cai, S., Han, Z., Liu, X., Wang, F., Cao, Y., Wang, Z., Li, H., Chen, Y., et al. (2020) · Advanced Materials · doi:10.1002/adma.201902062 · Cited by 620
Graphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Graphene and Graphene Oxide-Based Composites for Removal of Organic Pollutants: A Review
Thakur, K., & Kandasubramanian, B. (2019) · Journal of Chemical & Engineering Data · doi:10.1021/acs.jced.8b01057 · Cited by 469
Scalable fabrication of high-performance and flexible graphene strain sensors
Tian, H., Shu, Y., Cui, Y.-L., Mi, W.-T., Yang, Y., Xie, D., & Ren, T.-L. (2014) · Nanoscale · doi:10.1039/c3nr04521h · Cited by 411
Self-citationGraphene-based wearable sensors
Qiao, Y., Li, X., Hirtz, T., Deng, G., Wei, Y., Li, M., Ji, S., Wu, Q., Jian, J., Wu, F., et al. (2019) · Nanoscale · doi:10.1039/c9nr05532k · Cited by 158
Self-citation
Metadata
- Authors
- Tian, H., Ren, T.-L., Xie, D., Wang, Y.-F., Zhou, C.-J., Feng, T.-T., Fu, D., Yang, Y., Peng, P.-G., Wang, L.-G., & Liu, L.-T.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-05-24
- Volume
- 5
- Issue
- 6
- Pages
- 4878-4885
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2328631669
- Cited by
- 231
- References
- 3
- FWCI
- 8.93
- 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
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.