Quantum electrodynamical theory of high-efficiency excitation energy transfer in laser-driven nanostructure systems

Dilusha Weeraddana, Malin Premaratne, Sarath D. Gunapala, and David L. Andrews
Phys. Rev. B 94, 085133 – Published 17 August 2016

Abstract

A fundamental theory is developed for describing laser-driven resonance energy transfer (RET) in dimensionally constrained nanostructures within the framework of quantum electrodynamics. The process of RET communicates electronic excitation between suitably disposed emitter and detector particles in close proximity, activated by the initial excitation of the emitter. Here, we demonstrate that the transfer rate can be significantly increased by propagation of an auxiliary laser beam through a pair of nanostructure particles. This is due to the higher order perturbative contribution to the Förster-type RET, in which laser field is applied to stimulate the energy transfer process. We construct a detailed picture of how excitation energy transfer is affected by an off-resonant radiation field, which includes the derivation of second and fourth order quantum amplitudes. The analysis delivers detailed results for the dependence of the transfer rates on orientational, distance, and laser intensity factor, providing a comprehensive fundamental understanding of laser-driven RET in nanostructures. The results of the derivations demonstrate that the geometry of the system exercises considerable control over the laser-assisted RET mechanism. Thus, under favorable conformational conditions and relative spacing of donor-acceptor nanostructures, the effect of the auxiliary laser beam is shown to produce up to 70% enhancement in the energy migration rate. This degree of control allows optical switching applications to be identified.

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  • Received 17 May 2016

DOI:https://doi.org/10.1103/PhysRevB.94.085133

©2016 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Dilusha Weeraddana* and Malin Premaratne

  • Advanced Computing and Simulation Laboratory (AχL), Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria 3800, Australia

Sarath D. Gunapala

  • Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, USA

David L. Andrews§

  • School of Chemistry, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, United Kingdom

  • *dilusha.weeraddana@monash.edu
  • malin.premaratne@monash.edu
  • Sarath.D.Gunapala@jpl.nasa.gov
  • §d.l.andrews@uea.ac.uk

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Issue

Vol. 94, Iss. 8 — 15 August 2016

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