TECH

AI Discovers Alternatives to Rare-Earth Magnets for Electric Vehicles

by Admin
Oct 18, 2023
9 min read
9k
2 Comments

Researchers utilize machine learning to map tens of thousands of magnetic compounds, dramatically accelerating the path to sustainable EV manufacturing.

As the global transition to electric vehicles (EVs) accelerates, supply chain reliance on rare-earth minerals has remained a persistent bottleneck. A research team at the University of New Hampshire recently deployed advanced artificial intelligence to rapidly search and evaluate a database of over 67,000 magnetic compounds. By predicting material properties before physical synthesis, the AI model has identified viable, high-performance magnetic alternatives that do not rely on scarce rare-earth elements. This innovation is expected to significantly reduce the ecological impact of EV motor manufacturing and insulate the automotive industry from geopolitical supply chain vulnerabilities.

Georges Embolo

Lead Designer

While the law might seem obvious, designers often engage in creative work where they try to reinvent the wheel for the sake of novelty.

7 Comments

Naiska Haack

Oct 10, 2022

Creative work where they try to reinvent the wheel for the sake of novelty, we as designers are tasked with providing clients and users with new and inventive solutions.
Reply
- Simmy Mack
  
  Oct 10, 2022
  
  Creative work where they try to reinvent the wheel for the sake of novelty, we as designers are tasked with providing clients and users with new and inventive solutions.
  Reply
Arlene McCoy

Oct 10, 2022

Creative work where they try to reinvent the wheel for the sake of novelty, we as designers are tasked with providing clients and users with new and inventive solutions.
Reply