PCA applied to correlation matrices from ED data on 3x4 and 4x4 clusters identifies charge-dominated, spin-dominated, and pairing-dominated regimes in quarter-filled Hubbard models through variance condensation into leading components.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.str-el 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Principal Component Analysis of Competing Correlations in Quarter-Filled Hubbard Models
PCA applied to correlation matrices from ED data on 3x4 and 4x4 clusters identifies charge-dominated, spin-dominated, and pairing-dominated regimes in quarter-filled Hubbard models through variance condensation into leading components.