A new feature article explores Omar Yaghi’s pioneering efforts to integrate artificial intelligence with reticular chemistry, a field he helped establish. By harnessing AI-driven models, Yaghi and his collaborators at BIDMaP are accelerating the design and discovery of new porous materials, revolutionizing applications in clean energy, carbon capture, and water harvesting. This innovative approach allows for faster, data-driven predictions of material properties, reducing the time and cost associated with experimental synthesis. By bridging AI and chemistry, Yaghi’s work is reshaping how scientists approach material discovery. 
 

(‘Chemistry will no longer be an exclusive club’: how AI is changing Omar Yaghi’s work)