Researchers from TUS have used deep learning to predict single-molecule magnets (SMMs) from a pool of 20,000 metal complexes, accelerating the development of functional materials for high-density memory and quantum computing devices.

Researchers from TUS have used deep learning to predict single-molecule magnets (SMMs) from a pool of 20,000 metal complexes, accelerating the development of functional materials for high-density memory and quantum computing devices.
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