Contact‐Driven Snapping in Thermally Actuated Metamaterials for Fully Reversible Functionality (Adv. Funct. Mater. 16/2023)

Ma, Ruizhe; Wu, Lei; Pasini, Damiano

doi:10.1002/adfm.202370099

Cited by 1 publication

(1 citation statement)

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“…To address this challenge, a potential solution is to endow metamaterials with reprogrammable logical computation abilities, enabling them to perform various combinatorial and sequential logic operations. [ 40–47 ] However, the execution of these mechanical logic computations depends on specific inputs, such as sliding switches, [ 40 ] applying compressive forces, [ 41–43,46 ] or exposing to specific solvents, [ 44 ] which are difficult to generate autonomously. Moreover, the logic outputs of these computations cannot directly act as the actuation stimuli for soft robots.…”

Section: Introductionmentioning

confidence: 99%

Reprogrammable Metamaterial Processors for Soft Machines

Jiao,

Hu,

Dong

et al. 2023

Advanced Science

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Soft metamaterials have attracted extensive attention due to their remarkable properties. These materials hold the potential to program and control the morphing behavior of soft machines, however, their combination is limited by the poor reprogrammability of metamaterials and incompatible communication between them. Here, printable and recyclable soft metamaterials possessing reprogrammable embedded intelligence to regulate the morphing of soft machines are introduced. These metamaterials are constructed from interconnected and periodically arranged logic unit cells that are able to perform compound logic operations coupling multiplication and negation. The scalable computation capacity of the unit cell empowers it to simultaneously process multiple fluidic signals with different types and magnitudes, thereby allowing the execution of sophisticated and high‐level control operations. By establishing the laws of physical Boolean algebra and formulating a universal design route, soft metamaterials capable of diverse logic operations can be readily created and reprogrammed. Besides, the metamaterials' potential of directly serving as fluidic processors for soft machines is validated by constructing a soft latched demultiplexer, soft controllers capable of universal and customizable morphing programming, and a reprogrammable processor without reconnection. This work provides a facile way to create reprogrammable soft fluidic control systems to meet on‐demand requirements in dynamic situations.

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