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 speed up discovery in just weeks.
One alloy composed of 12% nickel, 62% cobalt and 26% chromium demonstrated exceptional hardness at temperatures up to 1,112 F, outperforming industry-standard Inconel 625 by 4.5%.
Another alloy made of 36% nickel, 14% cobalt and 50% chromium showed 85% better oxidation resistance than Inconel 625 at temperatures reaching 1,832 F, targeting hotter sections of jet engines.
The research team plans to increase complexity in future work, aiming to develop alloys with up to 10 or 12 different elements, demonstrating that AI can compress years of materials discovery into weeks.
Researchers at the University of Toronto's Department of Materials Science and Engineering have used an artificial intelligence (AI)-driven discovery platform to identify six new metal alloys that retain strength under extreme heat and pressure, a breakthrough that could lead to more durable parts for jet engines, nuclear power plants and other demanding applications....<<<Read More>>>..
