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Reliable material databases bridge AI- and experimental-led material discovery
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Reliable material databases bridge AI- and experimental-led material discovery
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku University. In a new article published in the journal Precision Chemistry, they examined how different types of databases, both computational and experimental, work together to support modern artificial intelligence (AI) tools used in materials science. The study found that materials databases are no longer just places to st…
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