PWDFT_jl

Official Resources

• Repository: https://github.com/f-fathurrahman/PWDFT.jl
• Documentation: In-repository examples
• License: MIT License

Overview

PWDFT.jl is a Julia package designed to solve the Kohn-Sham equations using a plane-wave basis set and pseudopotentials. It focuses on providing a clear implementation of standard Plane-Wave DFT methods, making it suitable for educational purposes and for researchers who wish to understand the implementation details of plane-wave DFT codes.

Scientific domain: Electronic structure, education Target user community: Students, educators, researchers exploring Julia for DFT

Theoretical Methods

• Density Functional Theory (DFT)
• Plane-wave basis sets
• Norm-conserving pseudopotentials (GTH)
• Direct minimization and SCF methods
• LDA and GGA functionals (Libxc via Libxc.jl)

Capabilities

• Total energy calculation
• Electron density generation
• Support for standard GTH pseudopotentials
• Simple geometry optimization
• Band structure calculation

Key Strengths

Educational Value:

• Concise codebase (~few thousand lines)
• Demonstrates core components of a PW-DFT code clearly
• Written in Julia for readability and performance

Simplicity:

• Minimal dependencies
• Straightforward installation

Inputs & Outputs

• Input formats:

  • Julia scripts
  • XYZ structure files
  • GTH pseudopotential format

• Output data types:

  • Text output (energies, eigenvalues)
  • Simple visualization (XSF export likely)

Interfaces & Ecosystem

• Julia: Standard Julia package structure.
• Libxc: Uses Libxc for exchange-correlation.

Computational Cost

• Scale: Limited to small systems (tens of atoms) for reasonable runtimes on CPUs.
• Memory: Standard Julia array overheads apply.

Best Practices

Educational Use:

• Source Reading: The code is designed to be read. Users should examine the src/ directory to understand how constructing the Hamiltonian works.
• Small Examples: Stick to simple molecules (H2, H2O) or simple solids (Si) to learn the workflow without waiting for heavy compute.

Development:

• Prototyping: Good for testing simple changes to the SCF loop structure before moving to complex packages like DFTK.

Community and Support

• Maintenance: Primarily a personal project by F. Fathurrahman; updates are sporadic.
• Support: Best via GitHub issues or direct academic contact.
• Resources: Repository includes examples/tutorials in Jupyter notebooks.

Performance Characteristics

• Speed: Reasonable for small systems; comparable to other prototype codes.
• Parallelization: Basic threading support; not primarily designed for massive HPC scaling.

Limitations & Known Constraints

• Features: Much more limited than minimal production codes (like Abinit or QE).
• Scope: Primarily an educational/research tool, not for large-scale production.

Comparison with Other Codes

• vs DFTK.jl: DFTK is a broader community project with more modern features (AD, ecosystem integration). PWDFT.jl is a more standalone/personal implementation often used for teaching.

Verification & Sources

Primary sources:

1. GitHub Repository: https://github.com/f-fathurrahman/PWDFT.jl
2. Developer's companion site/notes (f-fathurrahman).

Confidence: VERIFIED - Code exists and is functional.

Verification status: ✅ VERIFIED

• Existence: CONFIRMED
• Domain: DFT/Julia
• Key Feature: Educational Implementation