Enhancement of the Internal Quantum Efficiency in Strongly Coupled P3HT-C60 Organic Photovoltaic Cells Using Fabry–Perot Cavities with Varied Cavity Confinement
NANOPHOTONICS(2024)
Abstract
The short exciton diffusion length in organic semiconductors results in a strong dependence of the conversion efficiency of organic photovoltaic (OPV) cells on the morphology of the donor-acceptor bulk-heterojunction blend. Strong light-matter coupling provides a way to circumvent this dependence by combining the favorable properties of light and matter via the formation of hybrid exciton-polaritons. By strongly coupling excitons in P3HT-C60 OPV cells to Fabry-Perot optical cavity modes, exciton-polaritons are formed with increased propagation lengths. We exploit these exciton-polaritons to enhance the internal quantum efficiency of the cells, determined from the external quantum efficiency and the absorptance. Additionally, we find a consistent decrease in the Urbach energy for the strongly coupled cells, which indicates the reduction of energetic disorder due to the delocalization of exciton-polaritons in the optical cavity.
MoreTranslated text
Key words
strong coupling,organic photovoltaics,Fabry Perot cavities
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
Strong Light-Matter Coupling Facilitated Charge Carrier Transport in Cavity Organic Solar Cells
ACS Photonics 2024
被引用2
Breaking the Angular Dispersion Limit in Thin Film Optics by Ultra-Strong Light-Matter Coupling
NATURE COMMUNICATIONS 2024
被引用0
Controlling Plasmonic Catalysis Via Strong Coupling with Electromagnetic Resonators
NANO LETTERS 2024
被引用2
ACS NANO 2024
被引用0
PHYSICAL CHEMISTRY CHEMICAL PHYSICS 2024
被引用0
Fabry-Perot Resonances in Rb3Sb2I9 Microcrystals for Optical Sensing Applications
ACS APPLIED OPTICAL MATERIALS 2025
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
去 AI 文献库 对话