The use of Neural Networks in quantum many-body theory has undergone a formidable rise in recent years. Among the many possible applications. their pattern recognition power can be utilized when dealing with the study of equilibrium phase diagrams. Learning by Confusion has emerged as an interesting and unbiased scheme within this context. https://www.roneverhart.com/Persol-3195-S-58mm/
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