To quickly and accurately characterize prospective materials for use in solar energy, researchers built an automated system to perform laboratory experiments and used machine learning to help analyze the data they recorded. Their goal is to identify semiconductor materials for use in photovoltaic solar energy, which are highly efficient and have low toxicity.
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Source: ScienceDaily