通过声子调控的机械记忆：通过过渡波的钉定与脱钉
Phonon controlled mechanical memory via pinning and depinning of transition waves
AI总结：
通过声子调控过渡波的钉定与脱钉，实现机械记忆的可编程控制与高效信息处理
摘要：
多稳态机械超材料通过传播的kink过渡波（TWs）实现离散稳定状态之间的可编程转换。然而，通常需要局部激励或高能变形来控制这些kinks，限制了可扩展性。在此，我们展示了一种利用局部缺陷和边界声子激发来钉定和脱钉TWs的通用策略。受晶体固体中声子-位错相互作用的启发，我们使用成对的声子形成一个与钉定kink的平移模式共振的拍频包络，该模式位于声子带隙内。这种共振耦合有效地将能量转移到kink，使其能够克服缺陷屏障并传播过杂质。所提出的机制使这些系统能够作为机械计算中的信息处理单元，即作为可扩展且更稳健的机械记忆。
英文摘要：
Multistable mechanical metamaterials enable programmable transitions between discrete stable states through propagating kink transition waves (TWs). Yet controlling these kinks typically requires local actuation or high-energy deformation, limiting scalability. Here we demonstrate a universal strategy for pinning and depinning TWs using local defects and boundary phonon excitations. Inspired by phonon-dislocation interactions in crystalline solids, we use pairs of phonons that form a beating envelope resonant with the pinned kink's translational mode, which lies within a phononic band gap. This resonant coupling efficiently transfers energy to the kink, allowing it to overcome defect barriers and propagate across impurities. The proposed mechanism enables application of these systems as information processing units in mechanical computing, namely as scalable and more robust mechanical memory.
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