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AI Method Unveils Rare-Earth-Free Magnets for Domestic Supply

6/10/2026

Summary

Story summary

Scientists at Ames National Laboratory unveiled an AI-guided method to discover rare-earth-free permanent magnets.
The method combines physics-based modeling, high-throughput simulations, and reasoning-based artificial intelligence.
The AI system was trained on experimentally measured and theoretically calculated material properties to reflect real-world behavior.
The models rank candidates by magnetization strength, demagnetization resistance, energy storage capacity, high-temperature performance, and supply-chain factors such as material availability and cost for domestic scaling.

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Story summary

Scientists at Ames National Laboratory unveiled an AI-guided method to discover rare-earth-free permanent magnets.
The method combines physics-based modeling, high-throughput simulations, and reasoning-based artificial intelligence.
The AI system was trained on experimentally measured and theoretically calculated material properties to reflect real-world behavior.
The models rank candidates by magnetization strength, demagnetization resistance, energy storage capacity, high-temperature performance, and supply-chain factors such as material availability and cost for domestic scaling.