Download original image
Fig. 2. (Color online) (a) Structure of the fully connected neural network. The input layer receives the hybridization function and gives the probability of each phase as an output. The sigmoid function σ(x) is employed as an activation function between each layer.
(b) Test outputs Pmetal with data from DMFT-NRG. The blue(black) line represents the phase transition from the metallic(insulating) to the insulating(metallic) state, and the green lines shows the phase transition points calculated by quasiparticle weight. (top) Neural network with number of hidden node set to Nh=100 and Nh=10. (bottom) Logistic regression without hidden layer.
New Phys.: Sae Mulli 2022;72:487~494