Theoretical and 3D Simulation of Hydrogel Composites

Abstract

Hydrogel composites, known for their mechano-tunability, biocompatibility, and stimuli-sensitivity, are revolutionizing biomedical, environmental, and industrial fields. This study explores theoretical modeling (molecular dynamics (MD), coarse-grained simulations, finite element analysis (FEA)) and its synergy with advanced 3D printing (stereolithography, extrusion) to decipher the nuances of hydrogel composites design principles. MD unravels atomic-scale mechanics, designing fracture-resistant networks, whereas FEA engineers' macroscale mechanics towards tissue scaffolds or body sensors. Machine learning speeds up material design, predicting optimal mixtures for drug release or pollutant capture. 3D-printed hydrogels facilitate precision structures: tailored wound healing, enzymes-based biosensors, and aerogels that capture heavy metals. Scalability challenges, as well as fragility, are met with hybrid modeling-experiment approaches, confirmed with AFM and rheometry. AI-based multi-physics models are new trends toward smart hydrogels as well as greener bioinks.