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…
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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…
Scientists are using deep learning methods to predict single-molecule magnets (SMMs) from a pool of 20,000 metal complexes, streamlining the material discovery process. This…
Scientists are using deep learning methods to predict material properties and optimize synthesis conditions. In a recent study, researchers from Tokyo University of Science…