Programmable Information Processing With Reconfigurable Self‐Contact Variable Stiffness Mechanical Metamaterial

ABSTRACT Confronting the limitations of conventional electronics, such as electromagnetic interference and poor extreme environment reliability, mechanical metamaterials offer a promising pathway for robust physical information processing. A core challenge remains achieving dynamic, reversible stiffness programming. Here, we propose a reconfigurable self‐contact variable stiffness (SVS) metamaterial based on shape memory polymers (SMPs). The design features two unit cells with complementary asymmetry: one soft in tension/stiff in compression, and the other stiff in tension/soft in compression. By leveraging the shape memory effect, we precisely program the gap between internal contact blocks of the unit cell, actively controlling stiffness jumps and switching asymmetry modes. We demonstrate the platform's potential in two dimensions. First, an in‐plane array achieves information storage (465.9 KB/m 2 ) and encryption. Crucially, it retains data integrity under strong electromagnetic fields, outperforming traditional electronics. Second, combining units into a four‐cell structure allows switchable asymmetric stiffness to convert symmetric vibrations into directional responses, realizing programmable matter transport (∼30 mm/s). This work provides a viable, robust mechanical solution for information processing in extreme environments where electronic systems are prone to failure.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-09-08
DOI
https://doi.org/10.1002/advs.77680
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable Information Processing With Reconfigurable Self‐Contact Variable Stiffness Mechanical Metamaterial

Cheng Shen, Tian Jian Lu, Han Meng, Xiaoteng Liu et al.
Advanced Science
Advanced Materials and Mechanics
article

Programmable Information Processing With Reconfigurable Self‐Contact Variable Stiffness Mechanical Metamaterial

Cheng Shen, Tian Jian Lu, Han Meng, Xiaoteng Liu, Cheng Jung Li, Wenyu Zhu, Huadong Qin, Xin Wang
article en

Abstract

ABSTRACT Confronting the limitations of conventional electronics, such as electromagnetic interference and poor extreme environment reliability, mechanical metamaterials offer a promising pathway for robust physical information processing. A core challenge remains achieving dynamic, reversible stiffness programming. Here, we propose a reconfigurable self‐contact variable stiffness (SVS) metamaterial based on shape memory polymers (SMPs). The design features two unit cells with complementary asymmetry: one soft in tension/stiff in compression, and the other stiff in tension/soft in compression. By leveraging the shape memory effect, we precisely program the gap between internal contact blocks of the unit cell, actively controlling stiffness jumps and switching asymmetry modes. We demonstrate the platform's potential in two dimensions. First, an in‐plane array achieves information storage (465.9 KB/m 2 ) and encryption. Crucially, it retains data integrity under strong electromagnetic fields, outperforming traditional electronics. Second, combining units into a four‐cell structure allows switchable asymmetric stiffness to convert symmetric vibrations into directional responses, realizing programmable matter transport (∼30 mm/s). This work provides a viable, robust mechanical solution for information processing in extreme environments where electronic systems are prone to failure.

Advanced Science
Hong Kong Polytechnic University (HK), Northumbria University (GB), Academy of Mathematics and Systems Science (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 19%
Advanced Materials and Mechanics
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.