Particle density and critical point for studying site percolation by finite size scaling
Dian Xu,
Shanshan Wang,
Feng Gao
et al.
Abstract:Machine learning has recently achieved remarkable success in studying phase transitions. It is generally believed that the latent variables of unsupervised learning can capture the information related to phase transitions, which is usually achieved through the so-called order parameter. In most models, for instance the Ising, the order parameters are simply the particle number densities. The percolation, the simplest model which can generate a phase transition, however, has a unique order parameter which is no… Show more
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