Accelerating The Discovery Of Single-molecule Magnets With Deep Learning

Scientists at Tokyo University of Science have used deep learning to predict single-molecule magnets (SMMs) from a pool of 20,000 metal complexes, streamlining the material discovery process. SMMs have potential applications in high-density memory, quantum molecular spintronic devices, and quantum computing.