Physics-guided AI reconstructs hidden patterns inside ultrathin magnets from external fields

AI Summary

Researchers used physics-guided AI to infer hidden magnetic patterns inside ultrathin magnets from measurements of their external magnetic fields. The approach addresses a longstanding challenge in studying nanoscale materials and could support the development of faster, more energy-efficient computers.

To build faster and more energy-efficient computers, researchers need to understand nanoscale magnetic materials. But looking inside these tiny magnets is surprisingly difficult: Modern microscopes only measure the magnetic field outside the material, not the magnetic pattern inside. Because many different internal patterns can produce the exact same field, working backwards has long been a challenge.