Topological representations of crystalline compounds for the machine-learning prediction of materials properties
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Accurate theoretical predictions of desired properties of materials play an important role in materials research and development. Machine learning (ML) can accelerate the materials design by building a model from input data. For complex datasets, such as those... ...
