Analysis of optical near-field energy transfer by stochastic model unifying architectural dependencies

TL;DR

This paper combines theoretical modeling and experimental validation to analyze optical near-field energy transfer in quantum dot structures, considering disorder and architecture effects to inform nanophotonic device design.

Contribution

It introduces a unified stochastic model incorporating Yukawa potential, size fluctuations, and temperature effects for analyzing energy transfer in quantum dot systems.

Findings

Model predictions align with experimental results.

Device architecture significantly influences energy transfer efficiency.

Disorder effects are critical in nanophotonic device performance.

Abstract

We theoretically and experimentally demonstrate energy transfer mediated by optical near-field interactions in a multi-layer InAs quantum dot (QD) structure composed of a single layer of larger dots and N layers of smaller ones. We construct a stochastic model in which optical near-field interactions that follow a Yukawa potential, QD size fluctuations, and temperature-dependent energy level broadening are unified, enabling us to examine device-architecture-dependent energy transfer efficiencies. The model results are consistent with the experiments. This study provides an insight into optical energy transfer involving inherent disorders in materials and paves the way to systematic design principles of nanophotonic devices that will allow optimized performance and the realization of designated functions.