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cond-mat.stat-mech2025
Equivalence of residual entropy of hexagonal and cubic ices from tensor network methods
Xia-Ze Xu, Tong-Yu Lin, Guang-Ming Zhang
The long-standing question of whether the residual entropy of hexagonal ice () equals that of cubic ice () remains unresolved despite decades of research on ice-type mode…
cond-mat.stat-mech2025★ 2 cited
Efficient optimization of variational tensor-network approach to three-dimensional statistical systems
Xia-Ze Xu, Tong-Yu Lin, Guang-Ming Zhang
Variational tensor network optimization has become a powerful tool for studying classical statistical models in two dimensions. However, its application to three-dimensional system…
cond-mat.stat-mech2023★ 13 cited
Unified tensor network theory for frustrated classical spin models in two dimensions
Feng-Feng Song, Tong-Yu Lin, Guang-Ming Zhang
Frustration is a ubiquitous phenomenon in many-body physics that influences the nature of the system in a profound way with exotic emergent behavior. Despite its long research hist…