Nobel Laureate Omar Yaghi Joins Tsinghua University to Lead AI-Driven Materials Research Center

Shorten development cycles "by orders of magnitude"
Tsinghua's stated goal for the AI materials center that Nobel laureate Omar Yaghi will lead.
Mark

Why is a chemist changing universities making news?

Mimi

Because of who he is. Yaghi shared the 2025 Nobel for metal-organic frameworks, and now he's leaving Berkeley for a full-time post at Tsinghua, where he'll lead an AI-driven materials center.

Luke

But let's be careful about cause. The reporting sets the move beside US science budget cuts. Does it say that's why he left?

Mimi

No. It places the two side by side. His stated goals are environmental: water shortages, carbon neutrality, sustainable development, plus training young scientists.

Mark

He already had a relationship with Tsinghua, didn't he?

Mimi

Honorary professor since 2022, a foreign member of the Chinese Academy of Sciences, and collaborations with Fudan, Nanjing and Shanghai Jiao Tong. So this deepens an existing tie.

Luke

Still, his 2025 comments to The New York Times criticized Trump's immigration policies and nationalism. That's his stated view, not an explanation of this decision.

Mark

And the claim about shortening development cycles?

Luke

That's Tsinghua's language, "by orders of magnitude." It's a goal, not a result. Nothing in the reporting shows it's been achieved.

Mimi

Right, and the real test will be what the center produces.

Mark

Is this the start of a trend?

Luke

Unknown. One scientist is one case. Whether others follow is something to watch, not something reported.

  • A Nobel-winning chemist has left a long American career to lead a full-time AI materials center in Beijing, unsettling assumptions about where frontier science gets done.
  • Federal science budgets in Washington are being sharply cut while international research partnerships face new restrictions, pushing talent to look elsewhere.
  • Tsinghua says the center will use AI to redesign and synthesize materials so development cycles shrink by orders of magnitude, a bold claim that still has to be proven.
  • Yaghi aims his work at water scarcity, carbon capture and sustainability, and plans to train a new generation of AI-driven chemists.
  • The outcome now hinges on whether AI truly speeds discovery and whether other US-based researchers follow him across the Pacific.

On a July day in 2026, the chemist Omar Yaghi, whose work on metal-organic frameworks earned him a share of the 2025 Nobel Prize in Chemistry, took up a full-time post at Tsinghua University in Beijing to lead a new center that marries artificial intelligence with the making of materials. The move is a personal arc from Amman to Berkeley and now to China, a path that asks what a science owes to the places that nurture it. It also arrives as American federal research budgets are being pared back and international partnerships narrowed, so the story is as much about where knowledge will be built as about any single crystal. Its ultimate meaning will depend on whether the new methods deliver the faster materials that water, climate and clean energy so urgently need.

On July 3, 2026, Omar Yaghi was formally welcomed as a full-time faculty member at Tsinghua University in Beijing, according to Nature. The 61-year-old chemist, who shared the 2025 Nobel Prize in Chemistry, will lead a new research center devoted to artificial intelligence and the design of new materials. Tsinghua says the work could cut development cycles "by orders of magnitude."

Yaghi was no stranger to the campus, having served as an honorary professor there since 2022. Before this appointment he held a chair at the University of California, Berkeley. Born in Amman in 1965 to a Palestinian refugee family, he moved to the United States at fifteen and built his career through Illinois, Arizona State, Michigan and UCLA before Berkeley.

His Nobel recognized metal-organic frameworks, porous crystals whose cavities can be tuned to capture or store specific substances. At the ceremony he spoke of materials that might tackle water shortages, carbon neutrality and sustainable development, and of training young scientists in AI-driven chemistry.

The move comes as the Trump administration pushes to cut federal science spending and restrict international research partnerships. Yaghi has previously criticized the administration's immigration policies, warning they threaten the network of universities, companies and governments that sustains scientific excellence. What remains to be seen is whether the center's AI methods truly speed materials development, and whether other American scientists follow his path.

On July 3, 2026, Omar Yaghi was formally welcomed as a full-time faculty member at Tsinghua University in Beijing, according to the journal Nature. The 61-year-old chemist, who won the Nobel Prize in Chemistry in 2025, will lead a new research center built around artificial intelligence and the making of new materials.

Tsinghua said on Friday that the team will study how AI can change the design and synthesis of materials, and cut their development cycle "by orders of magnitude." The South China Morning Post first reported the move, and The Economic Times relayed it.

Yaghi was not a stranger to the university. He had been an honorary professor at Tsinghua since 2022. Before the full-time appointment, he held the James and Neeltje Tretter Professor of Chemistry chair at the University of California, Berkeley.

At the appointment ceremony, Yaghi said he hoped to develop materials that address large environmental problems: water shortages, carbon neutrality and sustainable development. He added that he wants to help train young scientists in AI-driven chemistry.

His Nobel came in 2025, shared with Richard Robson and Susumu Kitagawa, for work on metal-organic frameworks, or MOFs. These are porous, spongelike crystals in which metal ions and long carbon-based molecules form built-in cavities. By changing the building blocks, researchers can capture and store specific substances inside those spaces. The Nobel website says Robson did the pioneering work, and that around the turn of the millennium Yaghi and Kitagawa developed more flexible and stable versions. Possible uses include harvesting water from desert air, capturing carbon dioxide, storing toxic gases and catalysing chemical reactions.

Yaghi was born in Amman, Jordan, in 1965 to a Palestinian refugee family and moved to the United States at fifteen. He earned his PhD in chemistry at the University of Illinois Urbana-Champaign, then held faculty posts at Arizona State University, the University of Michigan and UCLA before reaching Berkeley.

His ties to China run alongside that American career. He is a foreign member of the Chinese Academy of Sciences, has won the Nano Research Award multiple times, and has long collaborated with Tsinghua, Nanjing University, Fudan University and Shanghai Jiao Tong University.

The timing falls against a political backdrop. The administration of President Donald Trump has been pushing to cut US science spending and restrict international research partnerships, and this fiscal year it pursued sharp reductions in federal research budgets across agencies. In a 2025 interview with The New York Times, Yaghi voiced concern about Trump's immigration policies, saying they endanger the system of universities, companies and governments that promotes scientific excellence. Of Trump's nationalism, he said, "I think it's regrettable."

What to watch: whether the center's AI methods actually shorten materials development as Tsinghua claims, and whether other US-based scientists make similar moves.

Of Trump's nationalism: "I think it's regrettable."
— Omar Yaghi, in a 2025 New York Times interview
AI could shorten materials development cycles "by orders of magnitude."
— Tsinghua University
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