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Nobel laureate Omar Yaghi joins Tsinghua to lead AI materials lab

Nobel laureate Omar Yaghi, co-winner of the 2025 Nobel Prize in Chemistry, has left the University of California, Berkeley to lead a new AI-driven materials research lab at Tsinghua University in China. The move underscores China's push to attract top scientists in AI-convergent fields and may intensify debate over research talent flows amid US-China geopolitical tensions.

read2 min views5 publishedJul 11, 2026
Nobel laureate Omar Yaghi joins Tsinghua to lead AI materials lab
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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.

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