Cited by 131Innovative Energy Harvesting TechnologiesAdvanced Sensor and Energy Harvesting MaterialsUltrasonics and Acoustic Wave Propagation

Ultrasound-induced wireless energy harvesting: from materials strategies to functional applications

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Jiang, Laiming, Yang, Yang, Chen, Yong, Zhou, Qifa·2020·Nano Energy

Abstract

Wireless energy harvesting represents an emerging technology that can be integrated into a variety of systems for biomedical, physical, and chemical functions. The miniaturization and ease of implementation are the main challenges for the development of wireless energy harvesting systems. Unlike most reported wireless energy harvesting technologies represented by electromagnetic coupling, the new generation of ultrasound-induced wireless energy harvesting (UWEH) that use propagating ultrasound waves to carry the available energy provides a strategy with higher resolution, deeper penetration, and more security, especially in nanodevices and implantable medical systems where a long-term stable power is required. Recently, advances in nanotechnologies, microelectronics, and biomedical systems are revolutionizing UWEH. In this article, an overview of recent developments in UWEH technologies that use a variety of material strategies and system designs based on the piezoelectric and capacitive energy harvesting mechanisms is provided. Practical applications are also presented, including wireless power for bio-implantable devices, direct cell/tissue electrical stimulations, wireless recording and communication in nervous systems, ultrasonic modulated drug delivery, self-powered acoustic sensors, and ultrasound-induced piezoelectric catalysis. Finally, perspectives and opportunities are also highlighted.

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  • In ultrasound power transfer, a piezoelectric material converts mechanical energy from ultrasound waves into electrical energy to power the brain implant.

    “This material converts the mechanical energy from the ultrasound waves into electrical energy, which powers the brain implant (Jiang et al., 2020; Athanassiadis et al., 2021; Birjis et al., 2022).”

    From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Jiang et al., 2020

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Sorted by citations

Authors
Jiang, L., Yang, Y., Chen, Y., & Zhou, Q.
Affiliations
  • University of Southern California (US)
  • San Diego State University (US)
Corresponding author
  • Yang, Yang
  • Chen, Yong
  • Zhou, Qifa
Venue
Nano Energy
Publisher
Elsevier BV
Published
2020-11
Volume
77
Pages
105131
ISSN
2211-2855 (ISSN-L)
OpenAlex
W3045343592
Cited by
131
References
212
Citations by year
2026: 9 · 2025: 22 · 2024: 37 · 2023: 19 · 2022: 19 · 2021: 24 · 2020: 1
FWCI
7.75
Type
journal article
Language
en
Open access
Locations
  • Nano Energy (acceptedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Funders
  • National Institutes of Health
  • National Science Foundation
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
Keywords
piezoelectric energy harvesting, biomedical implants, nanodevices

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 ›

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