Predicting Polymer Nanocomposite Mechanical Properties from Cellulose Nanofiber Descriptors via Facile Machine-Learning Leave-One-Out Process

This dataset contains experimentally measured descriptors of cellulose nanofibers (CNFs) and associated polymer characteristics, together with four key measured mechanical properties of CNF-reinforced polymer nanocomposites — tensile strength, elongation at break, storage modulus, and tensile modulus. The data support a machine-learning framework for predicting mechanical performance from CNF morphology and polymer/processing parameters.