Using the Haken-Strobl-Reineker Model to Determine the Temperature Dependence of the Diffusion Coefficient
William Barford

TL;DR
This paper demonstrates that the temperature dependence of the diffusion coefficient predicted by the Haken-Strobl-Reineker model can be valid at lower temperatures for translationally invariant systems, extending its applicability beyond high-temperature limits.
Contribution
It shows that the high-temperature predictions of the HSR model for diffusion coefficients can be extrapolated to lower temperatures in translationally invariant systems, challenging previous assumptions.
Findings
Diffusion coefficient $D_{ ext{infty}}(T) = c_1 / T$ for diagonal disorder.
For combined diagonal and off-diagonal disorder, $D_{ ext{infty}}(T) = c_1 / T + c_2 T$ with $c_2 \
The extrapolation is valid when the bath remains classical and the system is translationally invariant.
Abstract
Stochastic quantum Liouville equations (SQLE) are widely used to model energy and charge dynamics in molecular systems. The Haken-Strobl-Reineker (HSR) SQLE is a particular paradigm in which the dynamical noise that destroys quantum coherences arises from a white noise (i.e., constant-frequency) spectrum. A system subject to the HSR SQLE thus evolves to its `high-temperature' limit, whereby all the eigenstates are equally populated. This result would seem to imply that the predictions of the HSR model, e.g., the temperature dependence of the diffusion coefficient, have no validity for temperatures lower than the particle bandwidth. The purpose of this paper is to show that this assumption is incorrect for translationally invariant systems. In particular, provided that the diffusion coefficient is determined via the mean-squared-displacement, considerations about detailed-balance are…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Quantum, superfluid, helium dynamics · stochastic dynamics and bifurcation
