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Updated: May 6, 2026

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

A reprogrammable mechanical metamaterial with stable memory.

Tian Chen^1,2, Mark Pauly³, Pedro M Reis⁴

¹Flexible Structures Laboratory, Institute of Mechanical Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.

|January 21, 2021

Summary

This summary is machine-generated.

This study introduces a novel mechanical metamaterial with unit-cell memory, enabling real-time reprogramming of properties. This design allows for digital-like control over stiffness and strength in engineered materials.

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Last Updated: May 6, 2026

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Area of Science:

Materials Science
Mechanical Engineering
Physics

Background:

Metamaterials derive exotic properties from structural design.
Traditional mechanical metamaterials have fixed, pre-programmed functionalities.
Existing tuning methods lack real-time mechanical reprogrammability.

Purpose of the Study:

To develop a tileable mechanical metamaterial with stable, unit-cell level memory.
To achieve on-demand, digital-like reprogrammability of mechanical properties.
To demonstrate a new design paradigm for advanced mechanical metamaterials.

Main Methods:

Designed a metamaterial with physical binary elements (m-bits).
Utilized magnetic actuation to switch m-bits between two stable states.
Demonstrated reversible elastic cycling and reprogramming of the metamaterial array.

Main Results:

Achieved stable memory at the unit-cell level with distinct mechanical responses for each state.
Showcased independent and reversible switching of m-bits.
Demonstrated that encoded binary instructions can alter stiffness and strength by an order of magnitude.

Conclusions:

The developed mechanical metamaterial offers stable memory and on-demand reprogrammability.
This design framework enables dynamic control over material properties.
Paves the way for advanced, reconfigurable mechanical metamaterials.