ArticleNature materials2024
Automated discovery of reprogrammable nonlinear dynamic metamaterials.
Article in Nature materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- 4D metallic metamaterials for bone implants via biodegradation.Nature communications · 2026Article
- Digital composites with reprogrammable phase architectures.Science advances · 2026Article
- GELATO: multi-material topology optimization of programmable gel-elastomer structures.Structural and multidisciplinary optimization : journal of the International Society for Structural and Multidisciplinary Optimization · 2026Article
- Co-design of programmable material systems.NPJ metamaterials · 2026Review
- Phase transitions perception in nonreciprocal mechanical metamaterials through electromagnetic resonance.Science advances · 2025Article
- Programmable Metamaterials with Perforated Shell Group Supporting Versatile Information Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Data-Driven Bi-Directional Lattice Property Customization and Optimization.Materials (Basel, Switzerland) · 2024Article
- Designing flexible mechanical metamaterials with complex functionalities.Nature materials · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Harnessing the rich nonlinear dynamics of highly deformable materials has the potential to unlock the next generation of functional smart materials and devices. However, unlocking such potential requires effective strategies to spatially engineer material architectures within the nonlinear dynamic regime. Here we introduce an inverse-design framework to discover flexible mechanical metamaterials with a target nonlinear dynamic response. The desired dynamic task is encoded via optimal tuning of the full-scale metamaterial geometry through an inverse-design approach powered by a fully differentiable simulation environment. By deploying such a strategy, mechanical metamaterials are tailored for energy focusing, energy splitting, dynamic protection and nonlinear motion conversion. Furthermore, our design framework can be expanded to automatically discover reprogrammable architectures capable of switching between different dynamic tasks. For instance, we encode two strongly competing tasks-energy focusing and dynamic protection-within a single architecture, using static precompression to switch between these behaviours. The discovered designs are physically realized and experimentally tested, demonstrating the robustness of the engineered tasks. Our approach opens an untapped avenue towards designer materials with tailored robotic-like reprogrammable functionalities.
Identifiers
39317815What OpenQuestion holds
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.