# Nobel laureate Omar Yaghi joins Tsinghua to lead AI materials lab > Source: > Published: 2026-07-11 10:14:37+00:00 # Nobel laureate Omar Yaghi joins Tsinghua to lead AI materials lab ## Synopsis ## Key Takeaways **Omar Yaghi**, co-winner of the **2025 Nobel Prize in Chemistry**, has departed the **United States** to lead a new artificial-intelligence-driven research centre at **Tsinghua University** in **China**, the institution announced on **Friday, 4 July 2026**. The **61-year-old** materials scientist previously held the **James and Neeltje Tretter** professorship at the **University of California, Berkeley**, one of the most prestigious chairs in American chemistry. ## The appointment and its scope According to **Tsinghua University**, **Yaghi** will head a team exploring how **AI** can transform the design and synthesis of new materials, compressing development cycles 'by orders of magnitude.' Speaking at his appointment ceremony, **Yaghi** said he hoped to develop materials capable of addressing major environmental challenges including water shortages, carbon neutrality, and sustainable development. He also expressed a desire to train the next generation of scientists in AI-driven chemistry. ## Why it matters **Yaghi** shared the **2025 Nobel Prize** with **Richard Robson** and **Susumu Kitagawa** for pioneering work on **metal-organic frameworks (MOFs)** — ultra-porous, sponge-like materials formed by linking metal ions with carbon-based molecules. These materials hold the highest known surface areas, enabling them to capture and convert carbon, harvest water from desert air, and absorb hydrogen for clean-energy applications. His move brings one of the world's foremost experts in functional materials directly into **China**'s accelerating AI-science ecosystem. ## The talent pipeline behind Yaghi **Zhou Zihui**, a postdoctoral researcher at **UC Berkeley**, noted that **Yaghi** has trained approximately **200 researchers** over his career, with nearly half of them being Chinese nationals. That network gives **Tsinghua** an immediate advantage in recruiting experienced MOF researchers already familiar with **Yaghi**'s methodologies. The depth of that pipeline underscores why his relocation carries strategic weight beyond a single laboratory appointment. ## Competitive backdrop The move arrives as **China**'s leading universities — including **Peking University**, **Fudan**, **Nanjing University**, and **Shanghai Jiao Tong** — have intensified efforts to attract globally recognised scientists, particularly in fields where AI and physical sciences converge. It also comes amid ongoing geopolitical tension over research talent flows between **Washington** and **Beijing**, with several high-profile academics relocating in both directions in recent years. ## What's next Observers will watch whether **Yaghi**'s centre at **Tsinghua** produces commercially deployable MOF-based solutions for carbon capture or atmospheric water harvesting within its first research cycle. His appointment is also likely to prompt fresh debate in **Washington** and **Brussels** about science-diplomacy policy and the conditions that make top researchers choose to work outside the **US**. The broader question — whether AI-accelerated materials science becomes a new front in the technology competition between major powers — may find its first definitive answer in **Beijing**.