AI 中文总结
该研究揭示拥挤环境中活性聚合物可自捕获，呼吸晶格的波动可共振加速其逃逸，环境波动速率与螺旋弛豫速率匹配时扩散提升两个数量级，该机制可调控构象屏障的输运。
AI 中文摘要
在拥挤环境中，活性聚合物可通过缠绕成长寿命构象实现自捕获。我们表明，周围约束的波动可共振加速其从这些自生成陷阱中的逃逸。对受驱半柔性链在呼吸障碍物晶格中的布朗动力学模拟显示，其在紧凑旋转螺旋与伸展平移态之间存在间歇性切换。当环境波动速率与螺旋的本征弛豫速率相当时，长时间扩散可提升多达两个数量级。该增强效应在随机波动下依然存在，说明无需相干周期驱动。活性会产生第二个最优条件：一旦形成有利构象，它会促进逃逸；但在强驱动下，它会稳定螺旋并抑制其形成。因此，共振脱阱提供了一种通用机制，即波动环境通过内部构象动力学产生的屏障调控输运。
英文摘要
In crowded environments, active polymers can trap themselves by winding into long-lived conformations. We show that fluctuations of the surrounding confinement can resonantly accelerate escape from these self-generated traps. Brownian dynamics simulations of a driven semiflexible chain in a breathing obstacle lattice reveal intermittent switching between a compact rotating spiral and an extended translating state. Long-time diffusion increases by up to two orders of magnitude when the environmental fluctuation rate becomes comparable to the spiral's intrinsic relaxation rate. The enhancement persists under stochastic fluctuations, showing that coherent periodic forcing is not required. Activity creates a second optimum: it promotes escape once favorable conformations form, yet at strong drive stabilizes the spiral and suppresses their formation. Resonant untrapping thus provides a general mechanism by which fluctuating environments regulate transport through barriers generated by internal conformational dynamics.
