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Author

Daniel J. van de Pas

2 papers indexed here

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Open access Aug 2026

Predicting Mechanical Properties of Lignin-Containing Polyurethane Rigid Foams from Microstructure Using Convolutional Neural Networks

Bio-based alternatives to conventional rigid foams have proven to be good substitutes owing to their enhanced sustainability and competitive performance. However, because their manufacturing processes are complex and destructive testing is often impractical, this study investigates whether microstructural features can...

I. Hage, C. Seif, J. E. Quinsaat et al. · 0 citations
Open access Aug 2026

Foam property prediction and inception via a hybrid machine learning and model order reduction framework

This work establishes a methodology for the prediction of material properties based on imaging of lignin-containing polyurethane rigid foams and solving the inverse problem by generating the required lignin-based formulation leading to the desired mechanical properties.

C. Ghnatios, I. Hage, J. E. Quinsaat et al. · 0 citations

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