Li, H., Cao, H., Peng, S., Liu, Z., Feng, B., Wang, Y., . . . Yuan, L. (2026). Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis.
Chicago Style (17th ed.) CitationLi, Hao, et al. Agentic Reinforcement Learning Empowers Next-generation Chemical Language Models for Molecular Design and Synthesis. 2026.
MLA (9th ed.) CitationLi, Hao, et al. Agentic Reinforcement Learning Empowers Next-generation Chemical Language Models for Molecular Design and Synthesis. 2026.
Warning: These citations may not always be 100% accurate.