Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference
In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. This approach enables us to infer a high number of parameters that govern th...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-01-01
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| Series: | PRX Energy |
| Online Access: | http://doi.org/10.1103/PRXEnergy.4.013001 |
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