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TMCS: Tool-Grounded Multi-Agent Reasoning for Compositional Chemical Problem Solving
Despite the promise of Large Language Models (LLMs) in computational chemistry, rigorous combinatorial chemistry problems remain difficult because they require quantitatively constrained molecular modification, candidate validation, and systematic revision after failed attempts. Existing tool-augmen
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