Mode-dependent ferromagnetic Kondo coupling yields singlet ground states and heavy Fermi liquids as a magnetic-channel analog to Anderson-Morel superconductivity.
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Nonadiabatic renormalization group produces nested fiber bundle structures and shared-leg tensor networks for strongly coupled multiscale quantum systems, shown on interacting boson models and ab initio quantum chemistry.
Extended KK-IPT accurately reproduces AMEA results for correlated impurity transport at moderate temperatures and biases away from half filling, remaining stable in low-T low-bias regimes.
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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Kondo singlet from ferromagnetic coupling: an analog of Anderson-Morel superconductivity in the magnetic channel
Mode-dependent ferromagnetic Kondo coupling yields singlet ground states and heavy Fermi liquids as a magnetic-channel analog to Anderson-Morel superconductivity.
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Nonadiabatic Renormalization Group for Strongly Coupled Multiscale Quantum Systems
Nonadiabatic renormalization group produces nested fiber bundle structures and shared-leg tensor networks for strongly coupled multiscale quantum systems, shown on interacting boson models and ab initio quantum chemistry.
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Extension of the iterated perturbation theory at arbitrary fillings to nonequilibrium steady states
Extended KK-IPT accurately reproduces AMEA results for correlated impurity transport at moderate temperatures and biases away from half filling, remaining stable in low-T low-bias regimes.
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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.