Subsampling approach and data-driven models to predict silicate glass melt viscosity

•Glass melt viscosity remains one of the most challenging property to predict.•An innovative approach of data subsampling was developed.•Viscosity prediction appeared as very accurate over a wide range of silicate glass compositions. This study focused on developing a predictive tool for calculating...

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Veröffentlicht in:	Materials letters 2025-01, Vol.379, p.137691, Article 137691
Hauptverfasser:	Perret, Damien, Garcin, Alexandra, Soual, Carole, Bergeret, François
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemical Sciences Computer Science Glass Machine Learning Material chemistry Physics Statistics Viscosity
Online-Zugang:	Volltext
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