University of Vienna Team Reconstructs Internal Magnetism From External Field - AZoM

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.

Physicists at the University of Vienna, together with colleagues in Dresden, Singapore, and Ulsan, have now solved this problem by building the laws of physics directly into modern machine learning methods. Their method reveals the realistic magnetic structure and even determines the precise distance between the sensor and the sample. The study is published in Physical Review Letters, and the software is freely available as open source. Magnetic materials only a few atomic layers thick could play a key role in future data storage and Energy efficient electronics. To develop them, scientists use advanced instruments like diamond Quantum sensors or magnetic force microscopes to scan their surfaces. Yet these tools cannot see the magnet directly.