Machine-learning-accelerated selection of perovskite passivants
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OpenAlex topics: Perovskite Materials and Applications · Machine Learning and ELM · Gas Sensing Nanomaterials and Sensors
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References (5)
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1. Lee, J.-W., Tan, S., Seok, S. I., Yang, Y. & Park, N.-G. Rethinking the A cation in halide perovskites. Science 375, eabj1186 (2022). A review article that presents the role of the A cation in the regulation of the optoelectronic properties of organic–inorganic lead halide perovskites.10.1126/science.abj1186 ↗
2. Azmi, R. et al. Damp heat-stable perovskite solar cells with tailored-dimensionality 2D/3D heterojunctions. Science 376, 73–77 (2022). This paper shows that tailoring the dimensionality of the 2D perovskite passivation layer is a promising approach to achieve heat-stable inverted PSCs.10.1126/science.abm5784 ↗
3. Jeong, J. et al. Pseudo-halide anion engineering for α-FAPbI3 perovskite solar cells. Nature 592, 381–385 (2021). This paper introduces an anion engineering concept that uses formate to passivate anion-vacancy defects in perovskites.10.1038/s41586-021-03406-5 ↗
4. Bu, T. et al. Lead halide-templated crystallization of methylamine-free perovskite for efficient photovoltaic modules. Science 372, 1327–1332 (2021). This paper shows that the addition of KPF6 eliminated hysteresis and promoted long-term thermal stability in PSCs.10.1126/science.abh1035 ↗
5. Xiao, K. et al. All-perovskite tandem solar cells with 24.2% certified efficiency and area over 1 cm2 using surface-anchoring zwitterionic antioxidant. Nat. Energy 5, 870–880 (2020). This paper presents the potential of zwitterionic agents in passivating surface defects.10.1038/s41560-020-00705-5 ↗