Official Resources
- Source Repository: https://github.com/torbjornbjorkman/cif2cell
- Documentation: Included in repository
- License: GNU General Public License v3
Overview
cif2cell is a tool to generate the geometrical setup for various electronic structure codes from a CIF (Crystallographic Information Framework) file. It converts crystallographic data to input formats for DFT codes, bridging experimental crystallography and computational workflows.
Scientific domain: Crystal structure conversion, DFT input preparation
Target user community: Researchers converting CIF crystallographic data to DFT code input formats
Theoretical Methods
- Crystallographic information parsing (CIF format)
- Space group symmetry operations
- Primitive and conventional cell generation
- k-point grid generation
- Structure format conversion
Capabilities (CRITICAL)
- CIF to DFT code input conversion
- Support for: VASP, Quantum ESPRESSO, ABINIT, SIESTA, CP2K, FHI-aims, GPAW, Elk, FPLO, OpenMX, Octopus, Castep, RSPt, SPR-KKR, Wien2k, DFTB+, ATK, CRYSTAL, EMC
- Primitive cell generation
- Conventional cell generation
- Automatic k-point grid generation
- Space group handling
Sources: GitHub repository, Comput. Phys. Commun.
Key Strengths
Wide Code Support:
- 20+ DFT code output formats
- Single CIF input for all codes
- Consistent structure across codes
- No manual format conversion
Crystallographic Accuracy:
- Proper space group handling
- Correct symmetry operations
- Primitive vs conventional cell
- Standardized settings
Automated:
- k-point grid generation
- Structure optimization
- No manual editing needed
- Batch processing possible
Inputs & Outputs
-
Input formats:
- CIF files (from ICSD, COD, etc.)
- Command-line parameters
-
Output data types:
- VASP POSCAR
- QE input
- ABINIT input
- SIESTA input
- And 15+ other formats
Interfaces & Ecosystem
- Crystallographic databases: ICSD, COD, Materials Project
- DFT codes: 20+ supported
- Python: Scripting
Performance Characteristics
- Speed: Instant (format conversion)
- Accuracy: High (crystallographic standard)
- System size: Any crystal structure
- Memory: Low
Computational Cost
- Conversion: Seconds
- Typical: Negligible
Limitations & Known Constraints
- CIF only: No other input formats
- No relaxation: Structure conversion only
- Limited magnetic structure support: Primarily non-magnetic
- Python 2 origins: Some legacy code
Comparison with Other Codes
- vs pymatgen: cif2cell is specialized for CIF→DFT, pymatgen is general
- vs ASE: cif2cell is CIF-focused, ASE is general
- vs VESTA: cif2cell converts to DFT, VESTA visualizes
- Unique strength: CIF to 20+ DFT code format conversion, automated k-point generation
Application Areas
DFT Input Preparation:
- From experimental CIF to VASP
- From database CIF to QE
- Structure standardization
- Batch structure conversion
Crystallographic Databases:
- ICSD structure conversion
- COD structure processing
- Materials Project integration
- High-throughput setup
Teaching:
- Crystal structure understanding
- Space group visualization
- DFT input preparation
- Structure comparison
Best Practices
CIF Selection:
- Use standardized CIF files
- Check for correct space group
- Verify atomic positions
- Compare primitive vs conventional
Output Selection:
- Choose appropriate DFT format
- Set reasonable k-point density
- Check structure in visualization tool
- Validate against original CIF
Community and Support
- Open source (GPL v3)
- Developed by Torbjörn Björkman
- Widely used in DFT community
- Simple command-line tool
Verification & Sources
Primary sources:
- GitHub: https://github.com/torbjornbjorkman/cif2cell
- T. Björkman, related publications
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- Documentation: Included in repository
- Widely used: DFT community standard
- Active development: Maintained
- Specialized strength: CIF to 20+ DFT code format conversion, automated k-point generation