Interpretation of a minimal neural network to learn the metal-insulator transition in the dynamical mean-field theory
This work is a collaborative work.
Category: Physics (research)
Machine learning prediction of metal-insulator transition in DMFT Hubbard model
In this research, we aim to investigate the relationship between the metal-insulator transition andthe discrete bath orbitals calculated in the dynamical mea...
Self-learning Monte Carlo method with Plaquette Ising model
This work is based on https://journals.aps.org/prb/abstract/10.1103/PhysRevB.95.041101. Self-learning update method The local update-Monte Carlo method is th...
Classical Ising model with MCMC
Classical Ising model Classical Ising model is briefly explained in https://aadeliee22.github.io/physics/tsp-presentation/#classical-ising-model. This model ...