ArticleNature communications2024
Damage-programmable design of metamaterials achieving crack-resisting mechanisms seen in nature.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed.
- Hierarchical Fractal Interfaces in 3D-Printed Stiff-Soft Polymer Composites: Fracture Resistance and Toughening Mechanisms.Polymers · 2026Article
- Decoupling mechanical and morphometric properties in meta-biomaterials.Nature communications · 2026Article
- Digintel metasurface of extensive reprogrammable morphing.Science advances · 2026Article
- Article
- Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Review of Progress of AI in Biomimetics: From Biological Patterns to Closed-Loop Discovery.Biomimetics (Basel, Switzerland) · 2026Review
- Lattice Genome Framework for Regionally Tailored Component-Level Multi-Objective Design in Additive Manufacturing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- 3D-MOF-Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Material-Gradient Enabled Enhancement of Strength and Strain-Hardening of Lattice Structures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Dual-bond fracture metamaterials with full-field extrinsic toughening.Nature communications · 2025Article
- Intelligent design of mechanical metamaterials: a GCNN-based structural genome database approach.National science review · 2025Article
- A graphene-based photo-electro-thermal metamaterial for soft fixtures with superior grasping performance.iScience · 2025Article
- Multi-Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The fracture behaviour of artificial metamaterials often leads to catastrophic failures with limited resistance to crack propagation. In contrast, natural materials such as bones and ceramics possess microstructures that give rise to spatially controllable crack path and toughened material resistance to crack advances. This study presents an approach that is inspired by nature's strengthening mechanisms to develop a systematic design method enabling damage-programmable metamaterials with engineerable microfibers in the cells that can spatially program the micro-scale crack behaviour. Machine learning is applied to provide an effective design engine that accelerate the generation of damage-programmable cells that offer advanced toughening functionality such as crack bowing, crack deflection, and shielding seen in natural materials; and are optimised for a given programming of crack path. This paper shows that such toughening features effectively enable crack-resisting mechanisms on the basis of the crack tip interactions, crack shielding, crack bridging and synergistic combinations of these mechanisms, increasing up to 1,235% absorbed fracture energy in comparison to conventional metamaterials. The proposed approach can have broad implications in the design of damage-tolerant materials, and lightweight engineering systems where significant fracture resistances or highly programmable damages for high performances are sought after.
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Registered trials
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