Unsupervised Structure Classes vs Supervised Property Classes of Silicon Quantum Dots using Neural Networks

Nanoscale Horiz., 2021, Accepted Manuscript
DOI: 10.1039/D0NH00637H, Communication

Amanda J Parker, Amanda S. Barnard
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,...
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