GPT-5.4 optimizes Chan-Lam coupling yields

// 95d agoNEWS

GPT-5.4 optimizes Chan-Lam coupling yields

OpenAI and Molecule.one partnered to pair the GPT-5.4 model with the MARIA AI synthesis-planning platform and robotic lab, successfully optimizing a difficult Chan-Lam coupling reaction. Guided by human chemists, GPT-5.4 proposed reaction conditions that MARIA validated through 10,080 physical experiments, boosting yields for 88% of boronic acids and 83% of sulfonamides tested.

// ANALYSIS

This is a massive milestone for AI-driven scientific discovery, proving that combining LLMs' cognitive reasoning with automated high-throughput physical labs yields real-world chemical breakthroughs in months rather than years.

* AI-driven synthesis planning and execution accelerates the drug discovery pipeline by automating reaction screening at a scale humans cannot replicate.

* Integrating advanced reasoning models (like GPT-5.4) with robotic lab execution (like MARIA) creates a complete scientific closed loop from literature review to physical validation.

* Human steering remains vital in evaluating safety, relevance, and final confirmation, showing that the future of science lies in human-AI collaboration.

// TAGS

aichemistrydrug-discoveryllmroboticsautomated-synthesisgpt-5.4maria-ai

DISCOVERED

95d ago

2026-06-17

PUBLISHED

95d ago

2026-06-17

RELEVANCE

8/ 10

AUTHOR

OpenAI

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