On‐demand Reprogrammable Mechanical Metamaterial Driven by Structure Performance Relations

The physical reprogrammability of metamaterials provides unprecedented opportunities for tailoring changeable mechanical behaviors. It is envisioned that metamaterials can actively, precisely, and rapidly reprogram their performances through digital interfaces toward varying demands. However, on-demand reprogramming by integration of physical and digital merits still remains less explored. Here, a real-time reprogrammable mechanical metamaterial is reported that is guided by its own structure-performance relations. The metamaterial consists of periodically tessellated bistable building blocks with built-in soft actuators for state switching, exhibiting rich spatial heterogeneity. Guided by the pre-established relations between state sequences and stress-strain curves, the metamaterial can accurately match a target curve by digitally tuning its state within 4 s. The metamaterial can be elastically tensioned and compressed under a strain of 4%, and its modulus tuning ratio reaches >30. Moreover, it also shows highly tunable shearing and bending performances. This work provides a new thought for the physical performance reprogrammability of artificial intelligent systems.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2024-12-20
DOI
https://doi.org/10.1002/adma.202410865
Citations
21
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
4.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On‐demand Reprogrammable Mechanical Metamaterial Driven by Structure Performance Relations

Fei Pan, Lei Zhang, Yu‐Ling Wei, Yuli Chen et al.
21 citations
Advanced Materials
Advanced Materials and Mechanics
4.46
article

On‐demand Reprogrammable Mechanical Metamaterial Driven by Structure Performance Relations

Fei Pan, Lei Zhang, Yu‐Ling Wei, Yuli Chen, Xin Lin, Jinwu Xiang
article en
21 citations

Abstract

The physical reprogrammability of metamaterials provides unprecedented opportunities for tailoring changeable mechanical behaviors. It is envisioned that metamaterials can actively, precisely, and rapidly reprogram their performances through digital interfaces toward varying demands. However, on-demand reprogramming by integration of physical and digital merits still remains less explored. Here, a real-time reprogrammable mechanical metamaterial is reported that is guided by its own structure-performance relations. The metamaterial consists of periodically tessellated bistable building blocks with built-in soft actuators for state switching, exhibiting rich spatial heterogeneity. Guided by the pre-established relations between state sequences and stress-strain curves, the metamaterial can accurately match a target curve by digitally tuning its state within 4 s. The metamaterial can be elastically tensioned and compressed under a strain of 4%, and its modulus tuning ratio reaches >30. Moreover, it also shows highly tunable shearing and bending performances. This work provides a new thought for the physical performance reprogrammability of artificial intelligent systems.

Advanced MaterialsVol. 37(9)
Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 4%
Advanced Materials and Mechanics
4.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.