ArticleScience advances2024
Granular metamaterials with dynamic bond reconfiguration.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Landau level and active manipulation of elastic waves in topological robotic metamaterials.Science advances · 2026Article
- Anisotropic shape-shifting robotic matter enabling versatile collective behaviors.Nature communications · 2026Article
- 3D self-locking granular metamaterials.Science advances · 2026Article
- Chiral multi-curved shell metamaterials integrating compression-torsion and buckling mechanisms for ideal energy absorption.Nature communications · 2025Article
- Percolation transition in entangled granular networks.Nature communications · 2025Article
- Rigid-flexible interlocked metastructures enable conformal stealth.Science advances · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Biological materials dynamically reconfigure their underlying structures in response to stimuli, achieving adaptability and multifunctionality. Conversely, mechanical metamaterials have fixed interunit connections that restrict adaptability and reconfiguration. This study introduces granular metamaterials composed of discrete bimaterial structured particles that transition between assembled and unassembled states through mechanical compression and thermal stimuli. These materials enable dynamic bond reconfiguration, allowing reversible bond breaking and formation, similar to natural systems. Leveraging their discrete nature, these materials can adaptively reconfigure their shape and respond dynamically to varying conditions. Our investigations reveal that these granular metamaterials can substantially alter their mechanical properties, like compression, shearing, and bending, offering tunable mechanical characteristics across different states. Furthermore, they exhibit collective behaviors like directional movement, object capture, transportation, and gap crossing, showcasing their potential for reprogrammable functionalities. This work highlights the dynamic reconfigurability and robust adaptability of granular metamaterials, expanding their potential in responsive architecture and autonomous robotics.
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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.