Machine learning speeds up synthesis of porous materials

Seth Cohen ()

Nature, 2019, vol. 566, issue 7745, 464-465

Abstract: Failed chemical reactions are often not reported, which means that vast amounts of potentially useful data are going to waste. Experiments show that machine learning can use such data to optimize the preparation of porous materials.

Keywords: Materials science; Chemistry; Synthesis; Computer science (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1038/d41586-019-00639-3

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