可编程活性物质群中的模式稳定：大长度尺度下turbulence探测器
Pattern stabilisation in swarms of programmable active matter: a probe for turbulence at large length scales
摘要：
我们提出了一种算法，用于创建稳定的，有序的，成群的主动机器人代理安排在任何给定的模式。该策略涉及抑制一类称为“非仿射”位移的波动，即涉及参考图案的非线性变形的波动，而允许所有（或大部分）仿射变形。我们表明，这可以实现使用精确计算，波动，推力与消失的平均功率输入。我们研究的一个令人惊讶的结果是，一旦群的结构保持在稳定状态，底层流场的统计数据仅由稳定群所需的力的统计数据确定。
英文摘要：
We propose an algorithm for creating stable, ordered, swarms of active robotic agents arranged in any given pattern. The strategy involves suppressing a class of fluctuations known as "non-affine" displacements, viz. those involving non-linear deformations of a reference pattern, while all (or most) affine deformations are allowed. We show that this can be achieved using precisely calculated, fluctuating, thrust forces associated with a vanishing average power input. A surprising outcome of our study is that once the structure of the swarm is maintained at steady state, the statistics of the underlying flow field is determined solely from the statistics of the forces needed to stabilize the swarm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
