Gap Prediction in Hybrid Graphene-Hexagonal Boron Nitride Nanoflakes Using Artificial Neural Networks

Figure 5

Histograms of coefficients, comparing Method 1 (red) and Method 2 (blue) for neurons. Additionally, ANNs trained only on the geometrical properties of the hBN domains (green) perform statistically better than Method 2, but worse than Method 1.