Machine learning out-of-equilibrium phases of matter

31 Oct 2017Jordan VenderleyVedika KhemaniEun-Ah Kim

Neural network based machine learning is emerging as a powerful tool for obtaining phase diagrams when traditional regression schemes using local equilibrium order parameters are not available, as in many-body localized or topological phases. Nevertheless, instances of machine learning offering new insights have been rare up to now... (read more)

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