反应性靶标对间歇重启扩散输运的影响
Effect of reactive targets on diffusive transport with intermittent restarts
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中文总结 AI 辅助
该研究探讨反应-扩散过程中随机重置与靶标有限反应性的相互作用，发现靶标反应性会改变优化格局，最优重置速率依赖于反应性，为复杂介质反应-扩散过程提供新见解。
中文摘要 AI 辅助
我们利用随机重置策略研究复杂环境中的搜索过程，这类环境中常见有限反应性的靶标。随机重置已成为优化搜索过程的有力机制，可抑制扩散动力学中固有的长时无规偏离。然而，多数理论研究假设靶标为完美吸收型，这一理想化设定忽略了现实化学与生物系统中常见的有限反应性。本研究探讨反应-扩散过程中随机重置与靶标有限反应性的相互作用，考虑含多个反应性靶标的一维系统，我们证明靶标反应性会改变优化格局，并揭示基于靶标化学动力学，重置可提升向特定靶标输运效率的不同区域，最优重置速率因此本质上依赖于反应性。研究结果表明，靶标反应性是控制随机输运的关键参数，为复杂介质中的反应-扩散过程提供了新见解。
英文摘要
We study search processes in a complex environment using the strategy of stochastic resetting. A common occurrence in these environments is targets with finite reactivity. Stochastic resetting has emerged as a powerful mechanism for optimizing search processes by curtailing long, unproductive excursions inherent to diffusive dynamics. Most theoretical studies, however, assume perfectly absorbing targets -- an idealization that overlooks the finite reactivity commonly encountered in realistic chemical and biological systems. In this work, we investigate the interplay between stochastic resetting and finite-target reactivity in reaction - diffusion processes. Considering a one-dimensional system with multiple reactive targets, we demonstrated that the target reactivity modifies the optimization landscape. We uncover distinct regimes in which resetting enhances transport efficiency towards specific targets based on their chemical kinetics. As a consequence, the optimal resetting rate becomes intrinsically reactivity dependent. Our results identify target reactivity as a crucial control parameter governing stochastic transport and provide insights into reaction-diffusion processes in complex media.
发表机构
- Indian Statistical Institute（印度统计研究所）
- Korea Institute for Advanced Study（韩国高等研究院）
机构由 AI 辅助整理，请以论文原文为准。
