ArticleNature communications2025
Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Soft Mechanical Inductive Sensors: Principles, Design, and Applications.Micromachines · 2026Review
- Self-Driven Hybrid Piezomagnetic-Iontronic Mechanoreceptors for Bimodal SA/RA Perception and Tactile Synthesis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Materials-Structure-Hardware-Algorithm Co-Driven Hierarchical Optimization for Flexible Sensors.Nano-micro letters · 2026Review
- Reluctance Modulation of Structured Magnetorheological Elastomers for Wireless Biomechanical Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A soft perceptive multimodal locomotion robot via double-helix fiber-reinforced artificial muscles.Innovation (Cambridge (Mass.)) · 2026Article
- High-accuracy fatigue life prediction and early fracture warning for ferromagnetic metals via spin correlation amplification.Nature communications · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Soft mechanical sensors with high performance, mechanical robustness, and manufacturing reproducibility are crucial for robotics perception, but simultaneously satisfying these criteria is rarely achieved. Here, we suggest a magnetic crack-based piezoinductive sensor (MC-PIS) which exploits the strain modulation of magnetic flux in cracked ferrite films. The MC-PIS is insensitive to fatigue-induced crack propagation and environmental changes, showing same performance even when scratched in half or run over by a car. It can detect bidirectional bending with a precision of 0.01° from -200° to 327°, allowing for real-time reconstruction of dynamic shape changes of a flexible ribbon. We demonstrate an artificial finger recognizing surface topology and musical notes via vibrations, a crawling robot responding appropriately to external stimuli, a tree-planting gripper performing consecutive tasks from digging soil, removing stones, to placing trees. The MC-PIS opens a new paradigm to develop ultrasensitive yet highly robust sensors in real-world robotics applications.
Identifiers
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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.