AI-driven system discovers six new metal alloys for jet engines and nuclear power
Researchers at the University of Toronto have used an artificial intelligence-driven active learning platform to identify six new metal alloys that retain strength under extreme heat and pressure, with potential applications in jet engines and nuclear power plants. The system functions as a self-driving laboratory, using AI to select promising metal combinations, directing robots to manufacture and test them, and feeding results back into the model to compress years of materials discovery into weeks. The findings were published in the journal npj Advanced Manufacturing in June 2026.
How does the self-driving laboratory work?
The platform is led by Yu Zou, Canada Research Chair in Materials and Manufacturing for Extreme Environments in the University of Toronto’s Department of Materials Science and Engineering. Rather than manually testing thousands of metal combinations, the AI selects the most promising options, directs robots to manufacture them, tests their performance, and feeds the results back into the model to guide the next round of experiments.
Speaking of the broader demand for tougher materials, Zou said: “There’s enormous demand for materials that can stand up to huge swings of temperature and pressure, such as what you would find inside a jet engine or in the steam generators inside nuclear power plants, anywhere conventional steel just can’t survive.”
The team focused on compositionally complex alloys made from nickel, cobalt, and chromium. The approach overcame a common limitation of AI-driven materials design: most machine learning models require large datasets to make accurate predictions, but such data often does not exist for unexplored material combinations. The study’s first author, Ajay Talbot, explained the workaround: “The way we get around that challenge is to use data-lean models that essentially feel their own way along. Our active learning model strategically selects a few samples to manufacture and test, and the data from those experiments is fed back into the model to inform where we go next. It really speeds things up.”
What did the two standout alloys achieve?
The research team identified six new printable alloys that are up to roughly 40% harder than the popular equiatomic NiCoCr reference at room temperature, according to the study published in npj Advanced Manufacturing. Two of the new alloys showed complementary advantages at high temperatures:
- An alloy composed of 12% nickel, 62% cobalt, and 26% chromium demonstrated exceptional hardness at temperatures up to 1,112 F (600 C), outperforming industry-standard Inconel 625 by 4.5%. The study notes this alloy retains about 50% higher hardness than NiCoCr at 600 C.
- An alloy made of 36% nickel, 14% cobalt, and 50% chromium showed 85% better oxidation resistance than Inconel 625 at temperatures reaching 1,832 F (1,000 C), targeting hotter sections of jet engines. According to the study, this alloy reduces oxidation mass gain by 85% at 1,000 C compared with conventional superalloys.
Looking ahead, Talbot said: “We’re eventually aiming to ramp up to even higher temperatures, up to 2,192 F.”
Why are these alloys compatible with 3D printing?
The new alloys are designed for laser-based additive manufacturing, also known as 3D metal printing. The study notes that many conventional alloys are poorly suited to this process because of complex laser-material interactions and thermal histories. Compatibility with 3D printing enables the production of complex components that cannot be made using traditional casting or machining methods, including internal cooling channels for turbine blades and other geometrically intricate parts for jet engines and reactors.
What is the roadmap beyond three elements?
The current nickel-cobalt-chromium system uses just three elements. The research team views the results as an early demonstration of what the platform can achieve and plans to expand the compositional space in future work. Talbot noted: “This nickel-cobalt-chrome system has just three elements in it. But it’s great for showing that this whole closed-loop discovery platform really works. What we want to do next is ramp up the complexity a bit more to make even crazier stuff, with maybe up to 10 or 12 different elements.”
The project was partially supported by the University of Toronto’s Acceleration Consortium, a group that uses AI and automation to accelerate materials discovery. The paper lists co-authors Soumya S. Dash, Jialu Li, Changjun Cheng, Madhi Ramesh, Xiao Shang, Jiahui Zhang, Cristian Cojocaru of the National Research Council Canada, and Jason Hattrick-Simpers, who holds affiliations with the Acceleration Consortium, the Vector Institute for Artificial Intelligence, and the Schwartz Reisman Institute for Technology and Society.
The work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, Alliance Grant-Missions, the New Frontiers in Research Fund, the Digital Research Alliance of Canada, the Canadian Foundation for Innovation, and the Canada First Research Excellence Fund (CFREF) through the Acceleration Consortium.
Why does this matter for aerospace and power generation?
Materials that can withstand higher temperatures and pressures allow engines and reactors to operate more efficiently. Historical precedents show that material breakthroughs have reshaped entire sectors. The development of superalloys in the mid-20th century enabled jet engines to operate at higher temperatures, transforming aviation. With AI now acting as an accelerator, the search for new materials that once took years can be compressed into weeks, opening pathways to components that are lighter, stronger, and more resistant to the punishing conditions inside engines and reactors.
FAQ
What did the University of Toronto AI system discover?
Researchers used an AI-driven active learning platform to identify six new printable nickel-cobalt-chromium alloys that retain strength under extreme heat and pressure, with potential applications in jet engines and nuclear power plants. The findings were published in npj Advanced Manufacturing in June 2026.
How do the new alloys compare with Inconel 625?
One alloy of 12% nickel, 62% cobalt, and 26% chromium was 4.5% harder than Inconel 625 at temperatures up to 1,112 F. Another alloy of 36% nickel, 14% cobalt, and 50% chromium showed 85% better oxidation resistance than Inconel 625 at 1,832 F.
Can the new alloys be 3D printed?
Yes. The alloys were designed for laser-based additive manufacturing, or 3D metal printing, enabling the production of complex components such as internal cooling channels that cannot be made using traditional methods.
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This article summarizes reporting from naturalnews.com.