MMORF is a multi-agent framework for designing systems that solve multi-objective retrosynthesis planning—the problem of finding optimal chemical synthesis routes. The work applies multi-agent coordination principles to improve balance between competing objectives like yield, cost, and synthesizability in drug discovery and materials science.
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MMORF: A Multi-agent Framework for Designing Multi-objective Retrosynthesis Planning Systems
Multi-agent framework optimizes competing objectives in drug synthesis routes—balancing yield, cost, and feasibility through coordinated AI reasoning.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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