This breakthrough could have significant implications for renewable energy and low-carbon transport, as it eliminates the need for rare earth elements in high-performance permanent magnets. The AI-driven approach also opens up enormous potential for the creation of new materials, highlighting the increasing role of AI in materials discovery and manufacturing.
Key takeaways:
- A machine learning algorithm has helped develop a new magnet, MagNex, which is free of rare earth elements.
- The materials used to produce MagNex cost one-fifth of those used in regular permanent magnets, and its production results in a 70 percent reduction in carbon emissions.
- The AI system used in the development of MagNex can identify and analyze the composition of over 100 million potential alloys that could be used to create a permanent magnet.
- This breakthrough could have a significant impact on renewable energy and low-carbon transport by eliminating the need for rare earth elements in high-performance permanent magnets.