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Researchers are addressing polymer data scarcity through AI, high-throughput experiments, simulations, literature mining, and standardized databases.

Designing high-performance polymeric coatings requires balancing multiple formulation variables that interact in complex and often unpredictable ways.

AI-driven reinforcement learning enables polymer design optimized for performance and manufacturability.