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Machine-learning-accelerated selection of perovskite passivants

The discovery of passivating agents for perovskite photovoltaics can be an arduous and time-consuming process. Now, a machine-learning model is reported that accelerates the selection of bifunctional pseudo-halide passivators. The identified pseudo-halide passivators were experimentally shown to enhance the performance of perovskite solar cells.

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Fig. 1: Relationship between the chemical structure of PH anions and their passivation ability.

References

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This is a summary of: Xu, J. et al. Anion optimization for bifunctional surface passivation in perovskite solar cells. Nat. Mater. https://doi.org/10.1038/s41563-023-01705-y (2023).

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Machine-learning-accelerated selection of perovskite passivants. Nat. Mater. 22, 1449–1450 (2023). https://doi.org/10.1038/s41563-023-01711-0

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