
Researchers applied LLM agents to multi-objective SMILES optimization in evolutionary chemistry. The approach uses agents to guide molecular generation, balancing multiple chemical properties simultaneously. This method improves upon traditional rule-based techniques for designing molecules with desired characteristics.
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