Study on the Mechanical Properties of Self-Healing Hydrogel Materials Based on Neural Network

This study used neural networks to predict the mechanical properties of cyclodextrin-based self-healing hydrogels. The microstructure and self-healing behavior were characterized, showing excellent mechanical properties. The neural network model accurately predicted new hydrogel formulations and provided insights for material optimization. This research advances understanding and prediction of self-healing hydrogel behavior, with practical implications for material design.