Machine Learning in Complex Organic Mixtures: Applying Domain Knowledge Allows for Meaningful Performance with Small Data Sets

The ability to quantify individual components of complex mixtures is a challenge found throughout the life and physical sciences. An improved capacity to generate large data sets along with the uptake of machine-learning (ML)-based analysis tools has allowed for various “omics” disciplines to realiz...

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Veröffentlicht in:	Journal of the American Chemical Society 2024-08, Vol.146 (32), p.22563-22569
Hauptverfasser:	Le, Katelyn, Radović, Jagoš R., MacCallum, Justin L., Larter, Stephen R., Van Humbeck, Jeffrey F.
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence chemistry domain petroleum solvents
Online-Zugang:	Volltext
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