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Programmable Metamaterials with Perforated Shell Group Supporting Versatile Information Processing.

Xiaoyuan Ma¹, Ziran Wang¹, Weipeng Zhang¹

¹Key Laboratory of High-efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, 250061, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|April 9, 2025

Summary

This summary is machine-generated.

Researchers developed programmable multi-stable perforated shells for advanced mechanical intelligence. These transformable metamaterials enable high-density information processing, storage, and various applications in soft machines.

Keywords:

information processing mechanical intelligence metamaterials multistable mechanisms perforated shells

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Area of Science:

Materials Science
Mechanical Engineering
Robotics

Background:

Mechanical metamaterials offer potential for mechanical intelligence in soft machines.
Current metamaterial designs often focus on limited information processing features.
Achieving comprehensive intelligence requires metamaterials with integrated information processing capabilities.

Purpose of the Study:

To propose a novel approach for developing transformable, information-processing metamaterials.
To achieve high-density information storage, encoding, decoding, and reading.
To demonstrate diverse application-oriented functionalities.

Main Methods:

Utilizing programmable multi-stability of perforated shells (PS) with staggered trapezoidal voids.
Arranging different types of PSs under mechanical compression or magnetic actuation for multi-layer information processing.
Leveraging stable memory and tunable stiffness distributions for various functionalities.

Main Results:

Successfully developed transformable metamaterials capable of high-density information processing.
Demonstrated multi-layer information storage, encoding, decoding, and reading.
Showcased functionalities including information encryption, mechanical computing, wave amplification, and pressure transmission.

Conclusions:

The proposed design strategy enables multifunctional, miniaturized, and scalable information mechanical metamaterials.
This approach holds significant potential for soft-material-based intelligent devices.
Paves the way for advanced integrated information processing in mechanical systems.