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Updated: Nov 22, 2025

A Step Beyond BRET: Fluorescence by Unbound Excitation from Luminescence FUEL

A Step Beyond BRET: Fluorescence by Unbound Excitation from Luminescence FUEL

Published on: May 23, 2014

A Bayesian approach to luminescent down-conversion.

M Löning¹, L Lombez², J-F Guillemoles¹

¹CNRS, Ecole Polytechnique UMR 9006, Institut Photovoltaique d'Ile de France (IPVF), Palaiseau, France.

The Journal of Chemical Physics

|January 8, 2021

Summary

This summary is machine-generated.

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This study introduces a Bayesian probability method for characterizing photon down-conversion in solar cells. The zero delay auto-correlation function offers a direct way to assess down-conversion efficiency.

Area of Science:

Materials Science
Optoelectronics
Quantum Optics

Background:

Photon conversion can enhance solar cell efficiency beyond the Shockley-Queisser limit.
Characterizing luminescent down-conversion is challenging due to concurrent downshifting events.

Purpose of the Study:

To develop a general Bayesian probability method for analytical derivation of auto-correlation functions.
To apply and validate this method for characterizing five luminescent down-conversion mechanisms.

Main Methods:

Analytical derivation of auto-correlation functions using Bayesian probabilities.
Application of the method to five known down-conversion mechanisms.
Validation against numerical simulations.

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Last Updated: Nov 22, 2025

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Main Results:

The developed method successfully characterizes luminescent down-conversion mechanisms.
The zero delay auto-correlation function is identified as a direct indicator of down-conversion and efficiency.
Universal behaviors across different conversion mechanisms were observed.

Conclusions:

The Bayesian probability approach provides a robust tool for photon down-conversion characterization.
This method aids in designing characterization experiments for advanced solar cell materials.
The findings offer insights into optimizing photon conversion for improved solar energy harvesting.