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Royal Society of Chemistry, Green Chemistry, 1(19), p. 127-139

DOI: 10.1039/c6gc02359b

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A data-driven strategy for predicting greenness scores, rationally comparing synthetic routes and benchmarking PMI outcomes for the synthesis of molecules in the pharmaceutical industry

Journal article published in 2017 by Jun Li ORCID, Eric M. Simmons, Martin D. Eastgate
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

A predictive analytics approach to understanding process mass intensity (PMI) is described. This method leverages real-world data to predict probable PMI outcomes for a potential synthetic route and to compare PMI outcomes to the summation of prior experience.