The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Frequency-Multiplication High-Output Triboelectric Nanogenerator for Sustainably Powering Biomedical Microsystems
Abstract
An attractive method to response the current energy crisis and produce sustainable nonpolluting power source is harvesting energy from our living environment. However, the energy in our living environment always exists in low-frequency form, which is very difficult to be utilized directly. Here, we demonstrated a novel sandwich-shape triboelectric nanogenerator to convert low-frequency mechanical energy to electric energy with double frequency. An aluminum film was placed between two polydimethylsiloxane (PDMS) membranes to realize frequency multiplication by twice contact electrifications within one cycle of external force. The working mechanism was studied by finite element simulation. Additionally, the well-designed micro/nano dual-scale structures (i.e., pyramids and V-shape grooves) fabricated atop PDMS surface was employed to enhance the device performance. The output peak voltage, current density, and energy volume density achieved 465 V, 13.4 μA/cm(2), and 53.4 mW/cm(3), respectively. This novel nanogenerator was systematically investigated and also demonstrated as a reliable power source, which can be directly used to not only lighten five commercial light-emitting diodes (LEDs) but also drive an implantable 3-D microelectrode array for neural prosthesis without any energy storage unit or rectification circuit. This is the first demonstration of the nanogenerator for directly driving biomedical microsystems, which extends the application fields of the nanogenerator and drives it closer to practical applications.
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
Nanotechnology‐Enabled Energy Harvesting for Self‐Powered Micro‐/Nanosystems
Wang, Z. L., & Wu, W. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201201656 · Cited by 1,063
Cited by
Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Flexible Nanogenerators for Energy Harvesting and Self‐Powered Electronics
Fan, F. R., Tang, W., & Wang, Z. L. (2016) · Advanced Materials · doi:10.1002/adma.201504299 · Cited by 1,918
Wang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Reviving Vibration Energy Harvesting and Self-Powered Sensing by a Triboelectric Nanogenerator
Chen, J., & Wang, Z. L. (2017) · Joule · doi:10.1016/j.joule.2017.09.004 · Cited by 1,021
Sliding-Triboelectric Nanogenerators Based on In-Plane Charge-Separation Mechanism
Wang, S., Lin, L., Xie, Y., Jing, Q., Niu, S., & Wang, Z. L. (2013) · Nano Letters · doi:10.1021/nl400738p · Cited by 804
Wang, S., Xie, Y., Niu, S., Lin, L., Liu, C., Zhou, Y. S., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201402491 · Cited by 679
Park, J., Lee, Y., Hong, J., Lee, Y., Ha, M., Jung, Y., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano · doi:10.1021/nn505953t · Cited by 649
Chen, J., Yang, J., Li, Z., Fan, X., Zi, Y., Jing, Q., Guo, H., Wen, Z., Pradel, K. C., Niu, S., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b00534 · Cited by 632
Self-citationBiodegradable triboelectric nanogenerator as a life-time designed implantable power source
Zheng, Q., Zou, Y., Zhang, Y., Liu, Z., Shi, B., Wang, X., Jin, Y., Ouyang, H., Li, Z., & Wang, Z. L. (2016) · Science Advances · doi:10.1126/sciadv.1501478 · Cited by 617
Self-citationPark, S., Kim, H., Vosgueritchian, M., Cheon, S., Kim, H., Koo, J. H., Kim, T. R., Lee, S., Schwartz, G., Chang, H., et al. (2014) · Advanced Materials · doi:10.1002/adma.201402574 · Cited by 565
Xie, Y., Wang, S., Niu, S., Lin, L., Jing, Q., Yang, J., Wu, Z., & Wang, Z. L. (2014) · Advanced Materials · doi:10.1002/adma.201402428 · Cited by 554
Ha, M., Lim, S., Park, J., Um, D., Lee, Y., & Ko, H. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201500453 · Cited by 395
Energy autonomous electronic skin
García Núñez, C., Manjakkal, L., & Dahiya, R. (2019) · npj Flexible Electronics · doi:10.1038/s41528-018-0045-x · Cited by 332
Progress of flexible strain sensors for physiological signal monitoring
Shen, Z., Liu, F., Huang, S., Wang, H., Yang, C., Hang, T., Tao, J., Xia, W., & Xie, X. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114298 · Cited by 250
Zheng, Y., Cheng, L., Yuan, M., Wang, Z., Zhang, L., Qin, Y., & Jing, T. (2014) · Nanoscale · doi:10.1039/c4nr01934b · Cited by 250
Self‐Powered Water Splitting Using Flowing Kinetic Energy
Tang, W., Han, Y., Han, C. B., Gao, C. Z., Cao, X., & Wang, Z. L. (2015) · Advanced Materials · doi:10.1002/adma.201404071 · Cited by 223
Shi, Q., Wang, T., & Lee, C. (2016) · Scientific Reports · doi:10.1038/srep24946 · Cited by 210
Renewable energy harvesting with the application of nanotechnology: A review
Ahmadi, M. H., Ghazvini, M., Alhuyi Nazari, M., Ahmadi, M. A., Pourfayaz, F., Lorenzini, G., & Ming, T. (2019) · International Journal of Energy Research · doi:10.1002/er.4282 · Cited by 207
Controlling surface charge generated by contact electrification: Strategies and applications
Chen, L., Shi, Q., Sun, Y., Nguyen, T., Lee, C., & Soh, S. (2018) · Advanced Materials · doi:10.1002/adma.201802405 · Cited by 156
Cui, C., Wang, X., Yi, Z., Yang, B., Wang, X., Chen, X., Liu, J., & Yang, C. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b17585 · Cited by 134
Digitalized self-powered strain gauge for static and dynamic measurement
Su, Z., Wu, H., Chen, H., Guo, H., Cheng, X., Song, Y., Chen, X., & Zhang, H. (2017) · Nano Energy · doi:10.1016/j.nanoen.2017.10.004 · Cited by 37
Self-citationTakei, S., Oshima, A., Ichikawa, T., Sekiguchi, A., Kashiwakura, M., Kozawa, T., Tagawa, S., Oyama, T. G., Ito, S., & Miyasaka, H. (2014) · Microelectronic Engineering · doi:10.1016/j.mee.2014.02.026 · Cited by 28
Metadata
- Authors
- Zhang, X.-S., Han, M.-D., Wang, R.-X., Zhu, F.-Y., Li, Z.-H., Wang, W., & Zhang, H.-X.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-02-11
- Volume
- 13
- Issue
- 3
- Pages
- 1168-1172
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2020322785
- Cited by
- 670
- References
- 1
- FWCI
- 29.58
- 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.
