ArticleProceedings of the National Academy of Sciences of the United States of America2024
SonoTransformers: Transformable acoustically activated wireless microscale machines.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Machine learning-driven design of engineered cilia enables hybrid operations in acoustic microrobots.Nature communications · 2026Article
- Reconfigurable Acoustofluidic Microvortices for Selective Microcargo Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Acoustic shape-morphing micromachines.Nature communications · 2026Article
- Magnetic and pneumatic actuation of polymeric microneedles for plasmonic hot-spot engineering and molecular sensing.Nature communications · 2025Article
- Ultrasound-driven programmable artificial muscles.Nature · 2025Article
- Acoustically powered micro-clampbot for single-particle transportation.Science advances · 2025Article
- Technology Roadmap of Micro/Nanorobots.ACS nano · 2025Review
- Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Fast shape memory function and personalized PLTMC/SIM/MBG composite scaffold for bone regeneration.Materials today. Bio · 2025Article
- Multi-Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Model-based reinforcement learning for ultrasound-driven autonomous microrobots.Nature machine intelligence · 2025Article
- Acoustofluidic Actuation of Living Cells.Micromachines · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Shape transformation, a key mechanism for organismal survival and adaptation, has gained importance in developing synthetic shape-shifting systems with diverse applications ranging from robotics to bioengineering. However, designing and controlling microscale shape-shifting materials remains a fundamental challenge in various actuation modalities. As materials and structures are scaled down to the microscale, they often exhibit size-dependent characteristics, and the underlying physical mechanisms can be significantly affected or rendered ineffective. Additionally, surface forces such as van der Waals forces and electrostatic forces become dominant at the microscale, resulting in stiction and adhesion between small structures, making them fracture and more difficult to deform. Furthermore, despite various actuation approaches, acoustics have received limited attention despite their potential advantages. Here, we introduce "SonoTransformer," the acoustically activated micromachine that delivers shape transformability using preprogrammed soft hinges with different stiffnesses. When exposed to an acoustic field, these hinges concentrate sound energy through intensified oscillation and provide the necessary force and torque for the transformation of the entire micromachine within milliseconds. We have created machine designs to predetermine the folding state, enabling precise programming and customization of the acoustic transformation. Additionally, we have shown selective shape transformable microrobots by adjusting acoustic power, realizing high degrees of control and functional versatility. Our findings open new research avenues in acoustics, physics, and soft matter, offering new design paradigms and development opportunities in robotics, metamaterials, adaptive optics, flexible electronics, and microtechnology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.