Stiffness reprogrammable magnetorheological metamaterials inspired by spine for multibit visual mechanical information processing

Embedding information processing into mechanical metamaterials is conductive to constructing multifunctional mechanical systems, which has unique advantages to provide information processing platforms in extreme environments. However, achieving high-density, reprogrammable, and visually readable information processing in most mechanical metamaterials remains a challenge. Here, we report a multibit programming spine structure strategy to create a magnetorheological metamaterial with high-density, reprogrammable, and visually readable information encoding capacities. Inspired by spine features, the magnetorheological spine beams, exhibiting substantial stiffness variation by bistable transition, meticulously conceived the stiffness reprogrammable magnetorheological metamaterial (SRMM). The SRMM exhibits a large stiffness conversion capability (40-fold) and high-density information encoding performance (10-bit). Coupling with the mechanoluminescent materials, the mechanical information achieves visualization conveniently, which is attributed to the conversion of the stiffness data into optical signals through optical energy level transitions. Such stiffness-based magnetorheological metamaterial offers expansive information encoding spaces, stable operation capabilities, and convenient readout approaches, advancing mechanical information processing system design for extreme environments.

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Publication Details

Journal
Science Advances
Published
2025-10-08
DOI
https://doi.org/10.1126/sciadv.ady8430
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Stiffness reprogrammable magnetorheological metamaterials inspired by spine for multibit visual mechanical information processing

Huaxia Deng, Congcong Lou, Xinglong Gong, Shilong Duan et al.
Science Advances
Advanced Sensor and Energy Harvesting Materials
article

Stiffness reprogrammable magnetorheological metamaterials inspired by spine for multibit visual mechanical information processing

Huaxia Deng, Congcong Lou, Xinglong Gong, Shilong Duan, B. Liu, Y. Zhao, Xiujun Lian
article en

Abstract

Embedding information processing into mechanical metamaterials is conductive to constructing multifunctional mechanical systems, which has unique advantages to provide information processing platforms in extreme environments. However, achieving high-density, reprogrammable, and visually readable information processing in most mechanical metamaterials remains a challenge. Here, we report a multibit programming spine structure strategy to create a magnetorheological metamaterial with high-density, reprogrammable, and visually readable information encoding capacities. Inspired by spine features, the magnetorheological spine beams, exhibiting substantial stiffness variation by bistable transition, meticulously conceived the stiffness reprogrammable magnetorheological metamaterial (SRMM). The SRMM exhibits a large stiffness conversion capability (40-fold) and high-density information encoding performance (10-bit). Coupling with the mechanoluminescent materials, the mechanical information achieves visualization conveniently, which is attributed to the conversion of the stiffness data into optical signals through optical energy level transitions. Such stiffness-based magnetorheological metamaterial offers expansive information encoding spaces, stable operation capabilities, and convenient readout approaches, advancing mechanical information processing system design for extreme environments.

Science AdvancesVol. 11(41)
University of Science and Technology of China (CN), Institute of Mechanics (CN), State Key Laboratory of Nonlinear Mechanics
Openalex Percentile: Top 73%
Advanced Sensor and Energy Harvesting Materials
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Stiffness reprogrammable magnetorheological metamaterials inspired by spine for multibit visual mechanical information processing — Huaxia Deng, Congcong Lou, et al. · Science Advances (2025) | TGRS Research Map | TGRS