AI Found a Way to Build Magnets Without Rare Earth Elements

Almost every electric car on the road today, and nearly every large wind turbine spinning on a hillside, depends on a small but strategically critical…

Almost every electric car on the road today, and nearly every large wind turbine spinning on a hillside, depends on a small but strategically critical component most people never think about: the permanent magnet. Not the battery. Not the charging cable. The magnet buried deep inside the motor or generator — and the rare-earth elements required to make it work.

Now, researchers at the University of New Hampshire have used artificial intelligence to take a significant step toward breaking that dependency. Their work could eventually reshape the economics of clean energy in ways that battery breakthroughs alone never could.

The findings point to something the clean-energy conversation has largely overlooked: the magnet problem may be just as important as the battery problem, and it has been hiding in plain sight.

Why a Tiny Magnet Is Driving Up the Cost of Clean Energy

To understand why this matters, it helps to know what rare-earth elements actually do in an electric vehicle or wind turbine. These materials — a group of metals with names most people couldn’t pronounce — are used to create the powerful permanent magnets that sit inside electric motors and generators. Without them, those motors lose much of their efficiency and power density.

The scale of dependence is striking. According to the U.S. Department of Energy, almost all hybrid and plug-in electric vehicles use rare-earth permanent magnets in their traction motors. The International Energy Agency has similarly identified rare-earth elements as essential inputs for the magnets used in both EV motors and wind turbines.

That creates a narrow, fragile supply chain. The mining and processing of rare-earth elements is concentrated in a small number of countries, making the entire clean-energy sector vulnerable to price spikes, export restrictions, and geopolitical disruption. When that supply chain tightens, the cost of building electric cars and wind turbines rises — and those costs eventually reach consumers.

This is the problem the University of New Hampshire team set out to address.

What the AI Research Actually Found

The researchers built a publicly available database called NEMAD and used it as the foundation for an AI-assisted search for new magnetic materials. The goal was to find candidates that could perform the job of rare-earth magnets without requiring those strategically sensitive elements.

The results were notable. Using this approach, the team identified 25 previously unreported high-temperature ferromagnetic candidates — materials that had not been flagged by conventional research methods but that showed real promise as potential alternatives.

High-temperature ferromagnetism matters specifically because electric motors and generators operate in demanding conditions. A magnet that loses its properties under heat is not useful in a real-world application. Finding materials that remain magnetically stable at elevated temperatures is one of the core technical challenges in this field.

The AI’s ability to surface 25 new candidates represents a meaningful acceleration of a search that would take conventional materials science significantly longer to conduct.

The Scale of What’s at Stake

To put the rare-earth dependency in context, consider what it affects across the clean-energy economy:

  • Electric vehicle traction motors, which power the wheels directly
  • Hybrid vehicle motors, including those in widely sold models
  • Wind turbine generators, particularly direct-drive designs that are increasingly common in large offshore installations
  • The broader supply chain for clean-energy manufacturing
Sector Rare-Earth Dependency Source
Hybrid and plug-in EVs Almost all use rare-earth permanent magnets in traction motors U.S. Department of Energy
Wind turbines Rare-earth elements essential for generator magnets International Energy Agency
New AI-identified candidates 25 previously unreported high-temperature ferromagnetic materials University of New Hampshire / NEMAD

The pattern is consistent across the industry: wherever you find an efficient, high-performance electric motor or generator, you are likely to find rare-earth magnets inside it.

The Part of This Story Most Reports Are Missing

The clean-energy debate has focused heavily on batteries — on lithium, cobalt, charging infrastructure, and range anxiety. Those are real issues. But the magnet supply chain has received far less public attention despite sitting at the heart of the same problem.

A materials problem inside the motor can ripple outward to affect manufacturing costs, vehicle pricing, and the pace at which wind capacity can be deployed. If the supply of rare-earth elements tightens — through export controls, mining disruptions, or rising global demand — the impact would not show up as a battery shortage. It would show up as a magnet shortage, and the effects would be just as significant.

What makes the University of New Hampshire work particularly relevant is that it is not just theoretical. The NEMAD database is publicly available, meaning other researchers can build on it. The 25 candidates identified represent a starting point for further testing and development, not a finished solution — but a starting point that did not exist before this research.

What Comes Next for Rare-Earth-Free Magnets

Identifying candidate materials through AI is the first step in a longer process. Each of the 25 high-temperature ferromagnetic candidates flagged by the NEMAD-based research would need to be synthesized, tested, and evaluated for real-world performance before any of them could replace rare-earth magnets in commercial applications.

That process takes time. But the AI-assisted approach is specifically designed to compress the early stages of that timeline — narrowing a vast field of possible materials down to the most promising targets before laboratory work even begins. Researchers and advocates in the field suggest that tools like this could significantly shorten the path from discovery to deployment.

Whether any of the 25 candidates ultimately proves viable at scale remains to be seen. But the existence of a public database like NEMAD, and the AI methods used to mine it, means the search for rare-earth-free permanent magnets is now moving faster than it was before.

For anyone who cares about the cost of electric vehicles, the buildout of wind power, or the resilience of the clean-energy supply chain, that is a development worth watching closely.

Frequently Asked Questions

Why do electric cars need rare-earth elements?
According to the U.S. Department of Energy, almost all hybrid and plug-in electric vehicles use rare-earth permanent magnets in their traction motors, which are essential for efficient power delivery.

What is the NEMAD database?
NEMAD is a publicly available database built by researchers at the University of New Hampshire and used as the foundation for an AI-assisted search for new magnetic materials that could reduce dependence on rare-earth elements.

How many new magnetic material candidates did the AI identify?
The research identified 25 previously unreported high-temperature ferromagnetic candidates — materials that had not been flagged through conventional research methods.

Are these new materials ready to use in electric vehicles or wind turbines?
Not yet. The 25 candidates are starting points for further laboratory testing and development; they have not been confirmed as commercial replacements for rare-earth magnets.

Does this research affect wind turbines as well as electric cars?
Yes. The International Energy Agency has identified rare-earth elements as essential for the magnets used in wind turbine generators, so advances in this area would affect both sectors.</p

Climate & Energy Correspondent 223 articles

Dr. Lauren Mitchell

Dr. Lauren Mitchell is an environment journalist with a PhD in Environmental Systems from the University of California, Berkeley, and a master’s degree in Sustainable Energy from ETH Zurich. She covers climate science, clean energy, and sustainability, with a strong focus on research-driven reporting and global environmental trends.

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