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A research team at Osaka University has developed a robotic system and AI to speed up the search for more efficient solar cell materials. The system automates key experimental and analytical processes to evaluate 576 different thin-film semiconductor samples. The samples are made from a blend of cesium, bismuth, tin, and iodine, and are annealed at different temperatures and treated with different organic salt additives. The goal is to find materials that are highly efficient, made from common chemical elements, and have low toxicity.
