EMPRESS: Enhancing Magnet Performance with Reduced Rare-Earth SimulationS

要实现磁体关键材料资源效率的所需阶跃式改进，需要对材料及其生产工艺的设计方式进行重大变革。该项目旨在证明使用最新的人工智能方法与量子模拟相结合的可行性，以快速识别对关键材料依赖较少的改进型磁体材料，并通过减少或去除至少一种关键元素来使用新功能增强现有的商业材料。

Achieving the required step-change improvements in resource efficiency for critical materials for magnets demands significant changes to the way the materials & their production processes are designed. This project aims to demonstrate the viability of using the latest artificial intelligence methods coupled with quantum simulations to rapidly identify improved magnet materials that rely less on critical materials, and use the new capability to enhance an existing commercial material by reducing or removing at least one critical element.