elusive magnetic effect
Seeing an elusive magnetic effect through the lens of machine learning
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but promising means for achieving electronics without energy dissipation (or loss). Compared to superconductors, topological materials provide a few advantages, such as robustness against disturbances. To attain the dissipationless electronic states, one key route is the so-called "magnetic proximity effect," which occurs when magnetism penetrates slightly into the surface of a topological material. However, observing the proximity effect has been challenging.
Seeing an elusive magnetic effect through the lens of machine learning
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but promising means for achieving electronics without energy dissipation (or loss). Compared to superconductors, topological materials provide a few advantages, such as robustness against disturbances. To attain the dissipationless electronic states, one key route is the so-called "magnetic proximity effect," which occurs when magnetism penetrates slightly into the surface of a topological material. However, observing the proximity effect has been challenging.