Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Artificial intelligence has just cracked a problem that has frustrated condensed matter theorists for decades, turning a long-standing maze in frustrated magnet physics into a solved benchmark. By ...