This paper explains how AI is being used to replace PFAS and other problematic ingredients as regulatory pressure increases in the chemicals industry. By leveraging chemical formulas and molecular structures, AI platforms can rapidly identify safer, high-performing alternatives without relying on slow trial-and-error methods. Molecular structures are encoded using computer-readable formats such as SMILES, enabling automated computation of key molecular features and properties. These features allow AI models to screen large chemical spaces and pinpoint viable substitute materials efficiently. Through this approach, companies can accelerate compliance, reduce risk from restricted substances, and innovate faster while maintaining performance and sustainability goals.

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