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Particle density and critical point for studying site percolation by finite size scaling
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.
Transfer learning of phase transitions in percolation and directed percolation
With the DANN, only a small fraction of input configurations (2d images) needs to be labeled, which is automatically chosen, in order to capture the critical point.
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