'Chemistry will no longer be an exclusive club': how AI is changing Omar Yaghi's work
materials-discoverymetal-organic-frameworksai-chemistryclimate-tech
Abstraction: AI accelerating metal-organic framework discovery for climate applications
Key points:
- Omar Yaghi co-founded the Bakar Institute of Digital Materials for the Planet at UC Berkeley, focused on AI for climate-relevant materials discovery
- Using suites of LLMs mining literature and images, a new student made 15 new MOF/COF compounds in 6 months vs. one in 5 years previously
- Yaghi's "Foundational Gen AI models" for predicting MOF properties perform 50% better than random selection
- AI enables rapid optimization of synthesis conditions and mapping of vast structural chemical space for MOFs and COFs
- Key applications include carbon capture, water harvesting, and clean energy storage materials
- Yaghi argues AI will democratize chemistry — removing it from being "an exclusive club" — by enabling platform-guided synthesis accessible to all
Connections: Omar Yaghi · Uc Berkeley · AI For Science · Large Language Models