Ghost-GA provides an efficient way to compute the magnetic phase diagram of the anisotropic triangular Hubbard model, matching DMFT closely and ruling out the 1D AF phase.
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Isostructural CeCN5 and TbCN5 show Ce in 4+ and Tb in 3+ oxidation states, producing insulating versus metallic behavior because the polymeric C-N network distributes the extra electron from Ce.
Neural networks trained with 10-100x fewer examples than prior work approximate CT-QMC impurity solvers in DMFT, delivering comparable accuracy on interpolation and accelerating simulations up to 5x when used as initial guesses for lower temperatures.
citing papers explorer
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Magnetic phases of the anisotropic triangular Hubbard model from the ghost-Gutzwiller approximation in the rotating spin-frame
Ghost-GA provides an efficient way to compute the magnetic phase diagram of the anisotropic triangular Hubbard model, matching DMFT closely and ruling out the 1D AF phase.
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Electronic structure and oxidation states in high-pressure synthesized isostructural CeCN$_5$ and TbCN$_5$
Isostructural CeCN5 and TbCN5 show Ce in 4+ and Tb in 3+ oxidation states, producing insulating versus metallic behavior because the polymeric C-N network distributes the extra electron from Ce.
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Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods
Neural networks trained with 10-100x fewer examples than prior work approximate CT-QMC impurity solvers in DMFT, delivering comparable accuracy on interpolation and accelerating simulations up to 5x when used as initial guesses for lower temperatures.