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