The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
On Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Open accessAbstract
Self-powered system is a system that can sustainably operate without an external power supply for sensing, detection, data processing and data transmission. Nanogenerators were first developed for self-powered systems based on piezoelectric effect and triboelectrification effect for converting tiny mechanical energy into electricity, which have applications in internet of things, environmental/infrastructural monitoring, medical science and security. In this paper, we present the fundamental theory of the nanogenerators starting from the Maxwell equations. In the Maxwell's displacement current, the first term ε0∂E∂t gives the birth of electromagnetic wave, which is the foundation of wireless communication, radar and later the information technology. Our study indicates that the second term ∂P∂t in the Maxwell's displacement current is directly related to the output electric current of the nanogenerator, meaning that our nanogenerators are the applications of Maxwell's displacement current in energy and sensors. By contrast, electromagnetic generators are built based on Lorentz force driven flow of free electrons in a conductor. This study presents the similarity and differences between pieozoelectric nanogenerator and triboelectric nanogenerator, as well as the classical electromagnetic generator, so that the impact and uniqueness of the nanogenerators can be clearly understood. We also present the three major applications of nanogenerators as micro/nano-power source, self-powered sensors and blue energy.
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
Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
Wang, Z. L., & Song, J. (2006) · Science · doi:10.1126/science.1124005 · Cited by 7,922
Self-citationProgress 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
Self-citationWang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationNanotechnology‐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
Self-citationXie, 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
Self-citation
Cited by
Quantifying the triboelectric series
Zou, H., Zhang, Y., Guo, L., Wang, P., He, X., Dai, G., Zheng, H., Chen, C., Wang, A. C., Xu, C., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09461-x · Cited by 1,920
Self-citationReviving 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
Self-citationTriboelectric Nanogenerator (TENG)—Sparking an Energy and Sensor Revolution
Wang, Z. L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.202000137 · Cited by 870
Self-citationLiang, Z., Yan, C.-F., Rtimi, S., & Bandara, J. (2019) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2018.09.028 · Cited by 689
Giant magnetoelastic effect in soft systems for bioelectronics
Zhou, Y., Zhao, X., Xu, J., Fang, Y., Chen, G., Song, Y., Li, S., & Chen, J. (2021) · Nature Materials · doi:10.1038/s41563-021-01093-1 · Cited by 459
Metadata
- Authors
- Wang, Z. L.
- Venue
- Materials Today
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 20
- Issue
- 2
- Pages
- 74-82
- ISSN
- 1369-7021 (ISSN-L)
- OpenAlex
- W2567728595
- Cited by
- 2,083
- References
- 5
- FWCI
- 69.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: On Maxwell's displacement current for energy and sensors: the origin of nanogenerators. https://app.cochat.ai/papers/10.1016/j.mattod.2016.12.001
- The paper
- Wang, Z. L. (2017). On Maxwell's displacement current for energy and sensors: the origin of nanogenerators. Materials Today. https://doi.org/10.1016/j.mattod.2016.12.001
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.