most citedScalable Effective Models for Superconducting Nanostructures: Applications to Double, Triple, and Quadruple Quantum Dots

1 citations · 1 across the 1 of their papers we have counts for

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cond-mat.mes-hall2025★ 1 cited

Scalable Effective Models for Superconducting Nanostructures: Applications to Double, Triple, and Quadruple Quantum Dots

Daniel Bobok, Lukáš Frk, Vladislav Pokorný +1

We introduce a versatile and scalable framework for constructing effective models of superconducting (SC) nanostructures described by the generalized SC Anderson impurity model wit…

cond-mat.str-el2025

Unsupervised Machine Learning Phase Classification for Falicov-Kimball Model

Lukáš Frk, Pavel Baláž, Elguja Archemashvili +1

We apply various unsupervised machine learning methods for phase classification to investigate the finite-temperature phase diagram of the spinless Falicov-Kimball model in two dim…