Liu Zuolin, Fang Hongbin, Xu Jian, Wang Kon-Well
Institute of AI and Robotics, State Key Laboratory of Medical Neurobiology, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, 200433, China.
Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Adv Sci (Weinh). 2023 Dec;10(34):e2305146. doi: 10.1002/advs.202305146. Epub 2023 Oct 23.
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 signal propagation when constructing large-scale networks for high-level computation in conventional mechanical logic. Using the multistable stacked Miura-origami metamaterial as a validation platform, digit recognition is experimentally implemented by a single actuator. Moreover, complex tasks, such as handwriting recognition and 5-bit memory tasks, are also shown to be feasible with the new computation framework. The research represents a significant advancement in developing a new generation of intelligent materials with advanced computational capabilities. With continued research and development, these materials can have a transformative impact on a wide range of fields, from computational science to material mechano-intelligence technology and beyond.
多稳态超材料的最新进展揭示了结构构型转变与布尔逻辑之间的联系，预示着新一代具有计算能力的智能材料的出现。为了实现更高级别的计算，现有的计算框架需要集成大规模的网络逻辑门，这对材料对应物的制造和信号传播提出了苛刻的要求。受细胞自动机的启发，提出了一种基于多稳态折纸超材料并结合储层计算的新型计算框架，该框架无需构建逻辑门网络即可完成高级计算任务。因此，这种方法在构建用于传统机械逻辑中的高级计算的大规模网络时，消除了对材料制造和信号传播的苛刻要求。以多稳态堆叠三浦折纸超材料作为验证平台，通过单个致动器实验实现了数字识别。此外，新的计算框架还表明，诸如手写识别和5位存储任务等复杂任务也是可行的。这项研究代表了在开发具有先进计算能力的新一代智能材料方面的重大进展。随着持续的研发，这些材料可能会对从计算科学到材料机械智能技术等广泛领域产生变革性影响。
