Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks
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Machine learning classification is a useful technique to predict structure/property relationships in samples of nanomaterials where distributions of sizes and mixtures of shapes are persistent. The separation of classes, however, can either be supervised based... ...
