A dual-head CNN predicts density, specific compression modulus, yield strength, and compression strength of lignin-containing polyurethane foams from SEM images with reported R2 values of 0.85 to 0.91, but the reported evaluation does not clearly isolate held-out test data.
Lignin‐based polyurethane: recent advances and future perspectives,
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Predicting Mechanical Properties of Lignin-Containing Polyurethane Rigid Foams from Microstructure Using Convolutional Neural Networks
A dual-head CNN predicts density, specific compression modulus, yield strength, and compression strength of lignin-containing polyurethane foams from SEM images with reported R2 values of 0.85 to 0.91, but the reported evaluation does not clearly isolate held-out test data.