Official Resources
- Source Repository: https://github.com/KAIST-ELST/Jx_DMFT
- Documentation: Included in repository
- License: Open source
Overview
Jx_DMFT is a software for calculating magnetic exchange parameters (Jx) from the magnetic force theorem, combined with both DFT and dynamical mean-field theory (DMFT). It can compute magnon dispersion and spectral functions from the exchange parameters, including correlation effects beyond DFT.
Scientific domain: Magnetic exchange parameters with DMFT, correlated magnetism
Target user community: Researchers studying magnetic properties of strongly correlated materials where DFT alone is insufficient
Theoretical Methods
- Magnetic force theorem for exchange parameters
- Density Functional Theory (DFT)
- Dynamical Mean-Field Theory (DMFT)
- Heisenberg exchange coupling
- Magnon dispersion calculation
- Momentum-dependent spectral functions
- Self-consistent DMFT
Capabilities (CRITICAL)
- Exchange parameter calculation with DFT
- Exchange parameter calculation with DMFT
- Self-consistent DMFT calculation
- Magnon dispersion from exchange parameters
- Local and momentum-dependent spectral functions
- Post-processing scripts for measurable quantities
- Multiple DFT code interfaces
Sources: GitHub repository
Key Strengths
DMFT for Correlated Systems:
- Beyond-DFT exchange parameters
- Correlation effects on magnetism
- Temperature-dependent exchange
- Mott physics included
Comprehensive Output:
- Magnon dispersion
- Spectral functions
- Exchange parameters
- Temperature dependence
DFT+DMFT Integration:
- Combines both methods
- Self-consistent calculation
- Multiple DFT backends
- Systematic improvement
Inputs & Outputs
-
Input formats:
- DFT Hamiltonian files
- DMFT self-energy data
- Exchange calculation parameters
-
Output data types:
- Exchange parameters (Jij)
- Magnon dispersion
- Spectral functions
- Temperature-dependent quantities
Interfaces & Ecosystem
- DFT codes: Multiple interfaces
- DMFT codes: Self-energy input
- Python: Post-processing scripts
- Fortran: Core computation
Performance Characteristics
- Speed: Depends on DMFT convergence
- Accuracy: Beyond DFT for correlated systems
- System size: Limited by DMFT
- Memory: Moderate to high
Computational Cost
- DFT Jij: Hours
- DMFT Jij: Hours to days
- Typical: Expensive for DMFT
Limitations & Known Constraints
- DMFT complexity: Requires DMFT expertise
- Computational cost: DMFT is expensive
- Documentation: Limited
- Installation: Complex (DFT+DMFT stack)
Comparison with Other Codes
- vs exchanges: Jx_DMFT includes DMFT, exchanges is DFT-only
- vs TB2J: Jx_DMFT has DMFT, TB2J uses torque method
- vs SPR-KKR: Jx_DMFT is DFT+DMFT, SPR-KKR is KKR
- Unique strength: Exchange parameters with DMFT for correlated magnets, beyond-DFT magnetism
Application Areas
Strongly Correlated Magnets:
- Transition metal oxides
- Rare-earth compounds
- Heavy fermion systems
- Mott insulators
DMFT Magnetism:
- Correlation-enhanced exchange
- Temperature-dependent magnetism
- Orbital-selective magnetism
- Spin-orbit coupling effects
Magnon Spectroscopy:
- Correlated magnon dispersion
- Damping from DMFT
- Comparison with INS
- Temperature-dependent spectra
Best Practices
DMFT Setup:
- Use converged DMFT self-energy
- Validate against DFT results
- Test impurity solver convergence
- Compare with experimental spectra
Exchange Calculation:
- Include sufficient neighbor shells
- Test k-point convergence
- Validate against known systems
- Compare DFT vs DMFT exchange
Community and Support
- Open source on GitHub
- Developed at KAIST
- Research code
- Limited documentation
Verification & Sources
Primary sources:
- GitHub: https://github.com/KAIST-ELST/Jx_DMFT
- Related publications from KAIST ELST group
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- Documentation: Included in repository
- Active development: Research code
- Specialized strength: Exchange parameters with DMFT for correlated magnets, beyond-DFT magnetism