Predicting the Outcomes of Material Syntheses with Deep Learning
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DOI: 10.1021/acs.chemmater.0c03885
Abstract: A key bottleneck for material discovery is synthesis. While significant advances have been made in computational material design, synthesis pathways are still often determined through trial and err... read more here.
Keywords: syntheses deep; chemistry; deep learning; outcomes material ... See more keywords