Multi-model framework for intelligent research and development of super-hydrophilic coatings

• • The multi-model framework integrates PolyLLM and PolyML to screen 852 hydrophilic monomers and generate 3880 hypothetical polymer architectures, achieving a mean absolute error (MAE) below 10% in property predictions, enabling rapid discovery of polymers with exceptional anti-swelling and wear-resistance. • • PolyLLM's domain-specific insights and chemical tool capabilities enable systematic screening of hydrophilic monomers, while PolyML provides precise performance predictions and quantitative feature importance evaluations, facilitating high-throughput screening of optimal structures from the generated polymer database. • • The framework successfully develops high-performance anti-fogging coatings for swim goggles and optical films with outstanding water- and wear-resistance, significantly outperforming leading commercial products, demonstrating its industrial applicability. • • The multi-model approach bridges laboratory research and industrial development by combining PolyLLM's guidance for large-scale synthesis with PolyML's capabilities for precise formulation optimization and curing parameter adjustments, overcoming traditional processing barriers.