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Optical admittance method for light-matter interaction in lossy planar resonators

  • Aalto University

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Advanced optoelectronic simulation models are needed to study and optimize emerging photonic devices such as thin-film solar cells, lasers, and light-emitting diodes (LEDs). In particular, better tools are required for self-consistent modeling of coupled electrical and optical systems. The recently introduced quantized fluctuational electrodynamics (QFED) and the associated interference-exact radiative transfer equations have been developed for this purpose, but their use is in part complicated by the need to calculate the full dyadic Green's functions. To make QFED and the underlying physical quantities more accessible for new device studies, we introduce a directly usable method where Green's functions are obtained through optical admittances. The optical admittances can be solved analytically for piecewise-homogeneous layer structures and selected graded-index profiles, and numerically for arbitrary position-dependent refractive index profiles using well-known techniques. The solutions enable direct construction of the dyadic Green's functions and all the related optical quantities. To give examples of the general applicability of the method, we calculate the local and nonlocal optical densities of states for selected devices, including GaN-based flip-chip LEDs and vertical-cavity surface-emitting lasers. Using only the rather simple framework presented in this paper, one can analyze energy transport in a wide range of planar photonic devices accurately without additional difficulties or inputs from external solvers.

Original languageEnglish
Article number063304
JournalPhysical Review E
Volume98
Issue number6
DOIs
Publication statusPublished - 4 Dec 2018
MoE publication typeA1 Journal article-refereed

Funding

We acknowledge financial support from the Academy of Finland and the European Research Council (Horizon 2020 Research and Innovation Programme, Grant Agreement No. 638173).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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