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Author

Boqi Zhang

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#artificial intelligence Preprint Aug 2026

PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints

PGFS++ is introduced, a synthesis-aware reinforcement learning framework for input-specific molecular improvement that improves target properties while preserving high output diversity, and experiments show that PGFS++ improves target properties while preserving high output diversity.

Bo-Qi Zhang, G. James, S. Gottipati et al. · 0 citations

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