An explainable multimodal ML analysis of 40 aqueous-dispersion CNT fibers finds small uniform aggregates and long defect-free nanotubes respectively drive strength and conductivity, while density drives stiffness.
EMML integrate d multimodal data analysis through factor analysis and enhances interpretability using Explainable AI (XAI)
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Explainable Multimodal Machine Learning for Revealing Structure-Property Relationships in Carbon Nanotube Fibers
An explainable multimodal ML analysis of 40 aqueous-dispersion CNT fibers finds small uniform aggregates and long defect-free nanotubes respectively drive strength and conductivity, while density drives stiffness.