Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks

Development of materials by mixing different base components is a widespread methodology to create materials with improved properties compared to those of its base components. However, efficient determination of the properties of mixture-based materials during design remains challenging without prio...

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Veröffentlicht in:	International journal of pharmaceutics 2024-12, Vol.669, p.125012, Article 125012
Hauptverfasser:	Borja, Manuel, Dhondt, Jens, Bertels, Johny, Van Hauwermeiren, Daan, Verwaeren, Jan
Format:	Artikel
Sprache:	eng
Schlagworte:	Direct compression Machine learning Mixture design Mixture modelling Neural networks Predictive modelling
Online-Zugang:	Volltext
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