Beyond storage: The expanding role of magnetism in intelligent computing

As traditional complementary metal–oxide–semiconductor scaling approaches its physical limits, the search for alternative computing paradigms has led to renewed interest in magnetic materials, not merely as passive memory units but also as active components in computation itself. Emerging concepts employ spin dynamics, topological magnetic textures, magneto-ionic control, or magnonics for advanced data and signal processing applications, including neuromorphic, reservoir, or quantum-inspired computing. Recent breakthroughs, such as skyrmion-based logic, antiferromagnetic spintronics, or magnon-mediated signal processing, highlight the growing potential of magnetic materials. Ideas such as stochastic magnetic neurons, magnon-based reservoirs, or voltage-controlled reconfigurability further illustrate the rapid evolution of this research area. Innovation in this field requires new interdisciplinary joint efforts in aspects such as materials discovery, device integration, and the development of robust theoretical frameworks. By integrating advances across these domains, magnetic materials are well positioned to play a central role in next-generation intelligent computing.