Bandgap Prediction by Deep Learning in Configurationally Hybridized Graphene and Boron Nitride
npj Computational Materials - United Kingdom
doi 10.1038/s41524-019-0165-4
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Date
February 26, 2019
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Springer Science and Business Media LLC