DeepMind Materials new crystal structure data analysis
A recent Google DeepMind project paper Scaling deep learning for materials discovery described using GNNs trained on a large and diverse set of first-principles calculations to enable the efficient discovery of inorganic materials and the discovery of 2.2 million new crystal structures, many of which escaped previous human chemical intuition. This represents an order-of-magnitude expansion …
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