This article is cited in 17 papers

Quantitative structure–conditions–property relationship studies. Neural network modelling of the acid hydrolysis of esters

N. M. Halberstam, I. I. Baskin, V. A. Palyulin, N. S. Zefirov

Department of Chemistry, M.V. Lomonosov Moscow State University, Moscow, Russian Federation

Abstract: A new approach to the quantitative description of organic compound reactivity based on the neural network modelling of structure– reaction conditions–rate constant relationships was demonstrated for the acid hydrolysis of esters.

Language: English

DOI: 10.1070/MC2002v012n05ABEH001620

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