从短时轨迹中提取动力学信息：有损腔极化激元的弛豫与无序
Extracting Kinetic Information from Short-Time Trajectories: Relaxation and Disorder of Lossy Cavity Polaritons
AI总结：
本研究基于转移张量方法（TTM）提出数值方案，可从少量短时轨迹提取有损腔极化激元的动力学信息，并推广至无序系统，为研究腔损耗、无序与协同性的相互作用提供高效工具。
摘要：
分子腔极化激元这一新兴领域激发了大量实验与理论研究热潮，也为多体模拟方法的发展提供了独特机遇。本文提出一种基于转移张量方法（transfer tensor method, TTM）的数值方案，用于提取有损腔极化激元的关键动力学信息。稳态、弛豫时间尺度及振荡现象均可直接从一组转移张量中推导得出，无需进行长时间模拟。此外，我们通过采样动力学映射将TTM推广至无序系统，仅需少量样本实现即可快速收敛到无序平均动力学。这些技术共同构成了一套工具集，可用于表征腔损耗、无序与协同性在极化激元弛豫中的相互作用，还能预测其对初始激发态、光子衰减率、无序强度及腔模型类型的特殊依赖关系。由此，我们证明了TTM在高效计算长时极化激元动力学、以及从少量短时轨迹中提取极化激元弛豫关键动力学信息方面的巨大潜力。
英文摘要：
The emerging field of molecular cavity polaritons has stimulated a surge of experimental and theoretical activities and presents a unique opportunity to develop the many-body simulation methodology. This paper presents a numerical scheme for the extraction of key kinetic information of lossy cavity polaritons based on the transfer tensor method (TTM). Steady state, relaxation timescales and oscillatory phenomena can all be deduced directly from a set of transfer tensors without the need for long-time simulation. Moreover, we generalize TTM to disordered systems by sampling dynamical maps and achieve fast convergence to disordered-averaged dynamics using a small set of realizations. Together, these techniques provide a toolbox for characterizing the interplay of cavity loss, disorder, and cooperativity in polariton relaxation and allow us to predict unusual dependences on the initial excitation state, photon decay rate, strength of disorder, and the type of cavity models. Thus, we have demonstrated significant potential in the use of the TTM towards both the efficient computation of long-time polariton dynamics and the extraction of crucial kinetic information about polariton relaxation from a small set of short-time trajectories.
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。
