Affiliation:
1. LAQV-REQUIMTE-Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto,
Portugal
Abstract
Abstract:
This brief perspective outlines the pivotal role of Machine Learning methods in the green, digital transition of industrial chemistry. The focus on homogenous catalysis highlights the recent methodologies in the development of industrial processes, including the design of new catalysts and the enhancement of sustainable reaction conditions to lower production costs. We report several examples of Machine Learning assisted methodologies through recent Data Science trends on innovation of industrial homogeneous organocatalytic systems. We also stress the current benefits, drawbacks, and limitations towards the mass implementation of these Data Science methodologies.
Funder
Fundação para a Ciência e Tecnologia
FCT & MIT Portugal
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Analytical Chemistry,Catalysis
Cited by
2 articles.
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