scsbz

`scsbz` is a code designed to solve the mean-field self-consistent equations for slave-boson superconductivity. It is based on the Kotliar-Liu slave-boson formalism (PRB 38, 7, 1988), typically applied to the study of high-temperature su…

3. DMFT & MANY-BODY 3.2 Impurity Solvers VERIFIED
Back to Mind Map Official Website

Overview

`scsbz` is a code designed to solve the mean-field self-consistent equations for slave-boson superconductivity. It is based on the Kotliar-Liu slave-boson formalism (PRB 38, 7, 1988), typically applied to the study of high-temperature superconductivity in cuprate materials.

Reference Papers

Reference papers are not yet linked for this code.

Full Documentation

Official Resources

  • Source Repository: https://github.com/tflovorn/scsbz
  • License: Open Source (Check repository)

Overview

scsbz is a code designed to solve the mean-field self-consistent equations for slave-boson superconductivity. It is based on the Kotliar-Liu slave-boson formalism (PRB 38, 7, 1988), typically applied to the study of high-temperature superconductivity in cuprate materials.

Scientific domain: Unconventional Superconductivity, Slave-Boson Theory Target user community: Researchers in strongly correlated superconductivity

Theoretical Methods

  • Slave-Boson Mean-Field Theory
  • Kotliar-Liu Formalism
  • Superconductivity (d-wave, etc.)
  • Hubbard / t-J Models

Capabilities

  • Solving self-consistent mean-field equations
  • Describing the superconducting order parameter in correlated systems
  • Calculating critical temperatures and phase diagrams (in mean-field)

Key Strengths

Specificity:

  • Tailored for the slave-boson description of superconductivity.

Implementation:

  • Provides a reference implementation for these specific non-linear equations.

Inputs & Outputs

  • Input formats:
    • Model parameters (t, J, doping)
  • Output data types:
    • Order parameters (gap, boson fields)
    • Free energies

Interfaces & Ecosystem

  • Language: C++ / Python (Inferred).

Advanced Features

  • Symmetry breaking: Can handle superconducting order parameters.

Performance Characteristics

  • Efficiency: Mean-field cost, efficient.

Computational Cost

  • Low: Standard workstation efficiency.

Limitations & Known Constraints

  • Mean-Field: Neglects fluctuations (gauge fields).
  • Model specific: Tailored to cuprate-like models.

Comparison with Other Codes

  • vs DMFT: Mean-field slave boson is a static approximation compared to dynamic DMFT.
  • vs Bogoliubov-de Gennes: Includes correlation effects via slave bosons unlike standard BdG.

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/tflovorn/scsbz

Verification status: ✅ VERIFIED

  • Source code: OPEN

Related Tools in 3.2 Impurity Solvers