Ultrasound-responsive systems as components for smart materials
Open accessAbstract
Smart materials can respond to stimuli and adapt their responses based on external cues from their environments. Such behavior requires a way to transport energy efficiently and then convert it for use in applications such as actuation, sensing, or signaling. Ultrasound can carry energy safely and with low losses through complex and opaque media. It can be localized to small regions of space and couple to systems over a wide range of time scales. However, the same characteristics that allow ultrasound to propagate efficiently through materials make it difficult to convert acoustic energy into other useful forms. Recent work across diverse fields has begun to address this challenge, demonstrating ultrasonic effects that provide control over physical and chemical systems with surprisingly high specificity. Here, we review recent progress in ultrasound-matter interactions, focusing on effects that can be incorporated as components in smart materials. These techniques build on fundamental phenomena such as cavitation, microstreaming, scattering, and acoustic radiation forces to enable capabilities such as actuation, sensing, payload delivery, and the initiation of chemical or biological processes. The diversity of emerging techniques holds great promise for a wide range of smart capabilities supported by ultrasound and poses interesting questions for further investigations.
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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 Athanassiadis et al., 2021
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- Authors
- Athanassiadis, A. G., Ma, Z., Moreno-Gomez, N., Melde, K., Choi, E., Goyal, R., & Fischer, P.
- Affiliations
- Max Planck Institute for Intelligent Systems (DE)
- Micro, Nano, and Molecular Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstrasse 3, 70569 Stuttgart, Germany
- University of Stuttgart (DE)
- Corresponding author
- Athanassiadis, Athanasios G.
- Fischer, Peer
- ORCID
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-11-12
- Volume
- 122
- Issue
- 5
- Pages
- 5165-5208
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- PMC
- PMC8915171
- OpenAlex
- W3214480262
- Cited by
- 293
- References
- 426
- Citations by year
- 2026: 80 · 2025: 72 · 2024: 65 · 2023: 56 · 2022: 20
- FWCI
- 2.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Chemical Reviews (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Alexander von Humboldt-Stiftung
- H2020 European Research Council (788296)
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Ultrasound and Cavitation Phenomena
- Physical Sciences › Engineering › Biomedical Engineering › Acoustic Wave Phenomena Research
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Keywords
- smart materials, acoustic energy conversion, cavitation, microstreaming, acoustic scattering, acoustic radiation force, ultrasonic sensing, ultrasound-mediated drug delivery
- MeSH terms
- Smart Materials
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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