Machine learning prediction of the potential pesticide applicability of three dihydroquinoline derivatives: Syntheses, crystal structures and physical properties
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DOI: 10.1016/j.molstruc.2020.127732
Abstract: Abstract Increasingly machine learning processes have been applied in the search and development of compounds that may have specific physicochemical properties to the desired application. This article describes how a machine learning model led us… read more here.
Keywords: machine learning; dihydroquinoline derivatives; pesticide; three dihydroquinoline ... See more keywords