超材料
磁流变液
计算机科学
材料科学
刚度
实现(概率)
编码(内存)
结构工程
人工智能
光电子学
复合材料
工程类
阻尼器
数学
统计
作者
Congcong Lou,Xiujun Lian,Huaxia Deng,B. Liu,Shilong Duan,Y. Zhao,Xinglong Gong
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-10-08
卷期号:11 (41): eady8430-eady8430
标识
DOI:10.1126/sciadv.ady8430
摘要
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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