Researchers at the Princeton Plasma Physics Laboratory have developed a machine learning program to detect plasmoids in outer space, which could significantly improve our understanding of magnetic reconnection—a phenomenon that affects satellites and the power grid. By analyzing data from spacecraft in the magnetosphere with a program trained on simulated data, the team aims to advance our knowledge of how plasmoids influence reconnection processes. Credit: Kyle Palmer / PPPL Communications Department