Scientists at the University of New Hampshire are using artificial intelligence to dramatically speed up the search for new magnetic materials. Their approach has produced a searchable database containing 67,573 magnetic materials, including 25 previously unknown compounds that retain their magnetism at high temperatures, a key requirement for many real-world applications.
“By accelerating the discovery of sustainable magnetic materials, we can reduce dependence on rare earth elements, lower the cost of electric vehicles and renewable energy systems, and strengthen the U.S. manufacturing base,” said Suman Itani, lead author of the study and a doctoral student in physics.
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