Green Chem., 2026, Advance Article
DOI: 10.1039/D6GC01753C, Paper
DOI: 10.1039/D6GC01753C, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Brianna R. Farris, Joshua J. Meckstroth, Kevin C. Leonard
Shallow machine learning models are a more effective and sustainable way to uncover fundamental principles governing catalytic selectivity for green chemistry reactions, especially with the use of hybrid experimental and theoretical input features.
To cite this article before page numbers are assigned, use the DOI form of citation above.
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Shallow machine learning models are a more effective and sustainable way to uncover fundamental principles governing catalytic selectivity for green chemistry reactions, especially with the use of hybrid experimental and theoretical input features.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
