Deep learning on the 2-dimensional Ising model to extract the crossover region with a variational autoencoder
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DOI: 10.1038/s41598-020-69848-5
Abstract: The 2-dimensional Ising model on a square lattice is investigated with a variational autoencoder in the non-vanishing field case for the purpose of extracting the crossover region between the ferromagnetic and paramagnetic phases. The encoded… read more here.
Keywords: variational autoencoder; crossover region; dimensional ising; ising model ... See more keywords