Extracting kinetic information from short-time trajectories: relaxation and disorder of lossy cavity polaritons
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10.1515_nanoph-2023-0831.pdf
Description
Published version
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1.3 MB
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Adobe PDF
Checksum (MD5)
bce93ce857adf303e1c2b4312b83ad42
Author(s)
Wu, Andrew
Cerrillo, Javier
Cao, Jianshu
Date Issued
June 3, 2024
Journal
Nanophotonics
Publisher
Walter de Gruyter GmbH
Citation
Wu, Andrew, Cerrillo, Javier and Cao, Jianshu. "Extracting kinetic information from short-time trajectories: relaxation and disorder of lossy cavity polaritons" Nanophotonics, vol. 13, no. 14, 2024, pp. 2575-2590.
Version
Final published version
Abstract
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, using the example of cavity polaritons, we have demonstrated significant potential in the use of the TTM toward 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.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
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DOI of Published Version
https://doi.org/10.1515/nanoph-2023-0831
