Literature DB >> 31070912

Origin of Unexpectedly Simple Oscillatory Responses in the Excited-State Dynamics of Disordered Molecular Aggregates.

Maxim F Gelin1, Raffaele Borrelli2, Wolfgang Domcke1.   

Abstract

Unraveling the many facets of coherent and incoherent exciton motion in an ensemble of chromophores is an inherently complex quantum mechanical problem that has triggered a vivid debate on the role of quantum effects in molecular materials and biophysical systems. Here the dynamics of a statistical ensemble of molecular aggregates consisting of identical chromophores is investigated within a new theoretical framework. Taking account of intrinsic properties of the system, the Hamiltonian of the aggregate is partitioned into two mutually commuting vibrational and vibronic operators. This representation paves the way for an analysis that reveals the role of static disorder in ensembles of aggregates. Using analytical methods, it is demonstrated that after a critical time τD ≃ 2π/σ (σ being the dispersion of the disorder) any dynamic variable of the aggregate exhibits purely vibrational dynamics. This result is confirmed by exact numerical calculations of the time-dependent site populations of the aggregate. These findings may be useful for the interpretation of recent femtosecond spectroscopic experiments on molecular aggregates.

Entities:  

Year:  2019        PMID: 31070912     DOI: 10.1021/acs.jpclett.9b00840

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  3 in total

1.  Dynamics of diverse coherences in primary charge separation of bacterial reaction center at 77 K revealed by wavelet analysis.

Authors:  Fei Ma; Elisabet Romero; Michael R Jones; Vladimir I Novoderezhkin; Long-Jiang Yu; Rienk van Grondelle
Journal:  Photosynth Res       Date:  2021-10-28       Impact factor: 3.573

2.  Electronic coherence lifetimes of the Fenna-Matthews-Olson complex and light harvesting complex II.

Authors:  Shawn Irgen-Gioro; Karthik Gururangan; Rafael G Saer; Robert E Blankenship; Elad Harel
Journal:  Chem Sci       Date:  2019-09-19       Impact factor: 9.825

Review 3.  Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning.

Authors:  Wei Li; Haibo Ma; Shuhua Li; Jing Ma
Journal:  Chem Sci       Date:  2021-11-08       Impact factor: 9.825

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.