Integrated Retrosynthesis and Large Language Modeling for Chemistry-Informed Circular Chemical Reaction Networks
The proposed framework demonstrates that combining language-based knowledge extraction with structure-informed retrosynthetic reasoning enables scalable construction of CCRNs and supports the systematic exploration of candidate circular chemical pathways for subsequent economic and environmental evaluation.