A Machine Learning Approach to Predict Chemical Reactions

NeurIPS 2011 Matthew A. KayalaPierre F. Baldi

Being able to predict the course of arbitrary chemical reactions is essential to the theory and applications of organic chemistry. Previous approaches are not high-throughput, are not generalizable or scalable, or lack sufficient data to be effective... (read more)

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