As we transition to an electrified world, technologies like EV motors and electric grid batteries are becoming crucial. Many of these technologies rely on rare earth metals, which are expensive and environmentally damaging. Recently, a U.K.-based company made an incredible breakthrough: they developed a magnet that doesn’t use rare earth metals, and they did it in just three months using AI—about 200 times faster than traditional methods.
AI is proving to be a game-changer in discovering new materials for green energy, highlighting its potential to combat climate change. The need to move away from fossil fuels is urgent, but the reliance on rare earth metals for electric motors and batteries poses significant challenges. Due to these issues, companies like Tesla are actively seeking alternative materials for their EVs.
Finding new materials quickly is essential, and AI is making this possible. Materials Nexus, a tech company from the U.K., used their AI platform to create a rare-earth-metal-free magnet called MagNex. Unlike other “clean earth” magnets, which took about a decade to develop, MagNex was designed, synthesized, and tested in just three months.
Our platform has already attracted widespread interest for various products with applications that include semiconductors, catalysts and coatings
Materials Nexus CEO Dr. Jonathan Bean.
According to Materials Nexus, MagNex can be produced at 20% of the material cost and with a 70% reduction in carbon emissions compared to current rare earth magnets. The company collaborated with the Henry Royce Institute and the University of Sheffield to synthesize and test the magnet. They believe AI could also revolutionize the design of semiconductors and superconductors. Just before MagNex’s reveal, scientists from the U.K. and Japan used AI to create an iron-based superconducting magnet.
While AI’s rise brings some skepticism and job security concerns, it is particularly revolutionary in materials science. The Materials Project, an open-source database, has helped discover 48,000 materials with the help of computing—up from 20,000 discovered through traditional methods. In late 2023, researchers at Google – owned Deepmind reported that their Graph Networks for Materials Exploration (GNoME) used these materials to identify an additional 2.2 million potential materials, with 380,000 considered stable and viable for synthesis.
Transitioning the world from fossil fuels to electricity quickly is crucial, and AI is proving to be a valuable tool in this effort.
