Cellular Automata Inspired Multistable Origami Metamaterials for Mechanical Learning.

ABSTRACT: Recent advances in multistable metamaterials reveal a link between structural configuration transition and Boolean logic, heralding a new generation of computationally capable intelligent materials. To enable higher-level computation, existing computational frameworks require the integration of large-scale networked logic gates, which places demanding requirements on the fabrication of materials counterparts and the propagation of signals. Inspired by cellular automata, a novel computational framework based on multistable origami metamaterials by incorporating reservoir computing is proposed, which can accomplish high-level computation tasks without the need to construct a logic gate network. This approach thus eliminates the demanding requirements for the fabrication of materials and sign

SUBMITTER: Liu Z 

PROVIDER: S-EPMC10700163 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature