AI uncovers perovskite properties for efficient solar energy

tovima.gr (Greek)

AI tools have revealed unknown molecular properties of perovskite FAPbI3, potentially accelerating solar energy production. Researchers used machine learning to simulate millions of atoms, accurately identifying a unique, previously unobserved crystal structure of FAPbI3 at very low temperatures. This discovery sheds light on the material's instability. This breakthrough, confirmed experimentally, is a significant step towards developing more stable and efficient perovskite solar cells, highlighting the research value of artificial intelligence in renewable energy.


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AI uncovers perovskite properties for efficient solar energy | News Minimalist