A tensor network algorithm computes momentum-resolved spectral functions for large non-periodic super-moiré systems by mapping tight-binding problems to solvable quantum many-body simulations using kernel polynomial methods and quantum Fourier transforms.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
Strain-induced square moire superlattices in graphene exhibit narrow bands and split Van Hove singularities reproduced by a continuum model under twist-strain conditions that minimize elastic energy.
citing papers explorer
-
Tensor network approach to momentum-resolved spectroscopy in non-periodic super-moir\'e systems
A tensor network algorithm computes momentum-resolved spectral functions for large non-periodic super-moiré systems by mapping tight-binding problems to solvable quantum many-body simulations using kernel polynomial methods and quantum Fourier transforms.
-
Twistraintronics in Square Moire Superlattices of Stacked Graphene Layers
Strain-induced square moire superlattices in graphene exhibit narrow bands and split Van Hove singularities reproduced by a continuum model under twist-strain conditions that minimize elastic energy.