As mentioned earlier, latent space created by the encoder should be a well regularized continuous space so that a point sampled out of the latent space results in a well-defined crystal structure after decoding. Figure shows the kernel density estimate (KDE) plots for all the 100 latent space dimensions. KDE plots are essentially probability density plots, which give an idea about the distribution of a particular variable. It can be observed that the majority of the latent space dimensions are normally distributed, which indicates that the latent space is well regularized and it can be used reliably to sample points to generate new crystal structures. Figure shows the t-SNE encoding of the 3000 crystals of the VAE latent space. The scatter points marked in black were chosen randomly to demonstrate the continuity of the latent space.