Dynamic origins of cation-modulated stability in tin-based perovskites revealed through combined fine-tuned machine learning interatomic potentials and experiments.
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| Název: | Dynamic origins of cation-modulated stability in tin-based perovskites revealed through combined fine-tuned machine learning interatomic potentials and experiments. |
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| Autoři: | Tai, Yu-Ting, Tu, Cheng-Hsien, Wang, Ming-Yao, Huang, Zih-Lie, Yeh, Cheng-Hsien, Lau, Vincent Wing-hei, Shih, Chuan-Feng, Tian, Hong-Kang |
| Zdroj: | Journal of Materials Chemistry A; 1/22/2026, Vol. 14 Issue 6, p3354-3368, 15p |
| Abstrakt: | Tin-based halide perovskites are promising lead-free photovoltaic materials, but their poor stability in moisture hinders commercialization. While A-site cation engineering is a key strategy to enhance durability, the underlying mechanisms are not well understood. This work combines experiments with fine-tuned machine learning interatomic potential molecular dynamics (MLIP-MD) simulations to unravel the role of Cs+ and Rb+ cations in the degradation of FA |
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| Databáze: | Complementary Index |
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