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arXiv 提交日期: 2026-04-08
📄 Abstract - Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design

From butterfly wings to remnants of nuclear detonation, aperiodic order repeatedly emerges in nature, often exhibiting reduced sensitivity to boundaries and symmetry constraints. Inspired by this principle, a paradigm shift is introduced in nanomechanical resonator design from periodic to aperiodic structures, focusing on a special class: quasicrystals (QCs). Although soft clamping enabled by phononic stopbands has become a central strategy for achieving high-$Q_m$ nanomechanical resonators, its practical realization has been largely confined to periodic phononic crystals, where band structure engineering is well established. The potential of aperiodic architectures, however, has remained largely unexplored, owing to their intrinsic complexity and the lack of systematic approaches to identifying and exploiting stopband behavior. Here we demonstrate that soft clamping can be realized in quasicrystal architectures and that high-$Q_m$ nanomechanical resonators can be systematically achieved through a data-driven design framework. As a representative demonstration, the 12-fold QC-based resonator exhibits a quality factor $Q_m \sim 10^7$ and an effective mass of sub-nanograms at MHz frequencies, corresponding to an exceptional force sensitivity of $26.4$~aN/$\sqrt{\text{Hz}}$ compared to previous 2D phononic crystals. These results establish QCs as a robust platform for next-generation nanomechanical resonators and open a new design regime beyond periodic order.

顶级标签: systems model training data
详细标签: nanomechanical resonators quasicrystals data-driven design soft clamping phononic crystals 或 搜索:

通过数据驱动设计实现准晶构架纳米机械谐振器 / Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design


1️⃣ 一句话总结

这篇论文提出了一种数据驱动的新方法,成功设计出基于准晶结构的纳米机械谐振器,其性能超越了传统的周期性结构,实现了超高的灵敏度和稳定性。

源自 arXiv: 2604.07379