Machine-learning study of phase transitions in Ising, Blume-Capel, and Ising-metamagnet models
{{output}}
We combine machine-learning techniques with Monte Carlo (MC) simulations and finite-size scaling (FSS) to study continuous and first-order phase transitions in Ising, Blume-Capel, and Ising-metamagnet spin models. We go beyond earlier studies that had concentr... ...
