DQMC Data: Thermodynamics of the Metal-Insulator Transition in Extended Hubbard Models

Determinantal quantum Monte Carlo (DQMC) data sets for the extended Hubbard model on a square lattice at half filling. The data includes double occupancy, internal energy, antiferromagnetic structure factor, and charge density wave structure factor, computed for the Hubbard, U-V, and long-range Coulomb-Hubbard models at fixed U/t=1.9. The data was generated by Alexander Sushchyev of RWTH Aachen University using the ALF Code.

Use Cases

• Benchmarking numerical methods for quantum lattice models based on the provided double occupancy and energy data.
• Analyzing finite-size scaling of thermodynamic observables based on data for lattice sizes L=8 to L=20.
• Studying the effect of long-range Coulomb interactions on phase transitions based on data for the LRC-Hubbard model.
• Investigating the metal-insulator transition based on temperature-resolved (beta=1/T) structure factor data.

Strengths

• Data includes statistical error estimates for all primary observables (double occupancy, energy, structure factors).
• Covers three related model variants (Hubbard, U-V, long-range Coulomb-Hubbard) at a fixed interaction strength U/t=1.9.
• Provides results for multiple lattice sizes (L=8, 10, 12, 16, 18, 20) enabling finite-size analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred from the file naming convention and description.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Last update date is unknown; freshness unverified.

Provenance

Source

Alexander Sushchyev, RWTH Aachen University

Collection Method

Generated via determinantal quantum Monte Carlo simulations using the ALF Code.