Official Resources
- Source Repository: https://github.com/ansobolev/aiida-fhiaims
- Documentation: Included in repository
- License: Open source
Overview
aiida-fhiaims is an AiiDA plugin for the FHI-aims all-electron DFT code. It enables running FHI-aims calculations within the AiiDA framework with provenance tracking, input management, and output parsing.
Scientific domain: AiiDA plugin for FHI-aims all-electron DFT
Target user community: Researchers using FHI-aims with AiiDA workflow management
Theoretical Methods
- FHI-aims input generation and management
- Species defaults handling
- Output parsing
- AiiDA workflow integration
- Provenance tracking
Capabilities (CRITICAL)
- FHI-aims calculation submission via AiiDA
- Species defaults management
- Output parsing (energies, forces, structure)
- Workflow automation
- Provenance tracking
Sources: GitHub repository
Key Strengths
FHI-aims Integration:
- Species defaults handling
- Input parameter management
- Output parsing
- Error recovery
Provenance:
- Full calculation tracking
- Reproducibility
- Data management
Inputs & Outputs
-
Input formats:
- FHI-aims input parameters
- Species defaults
- Structure data
-
Output data types:
- Parsed FHI-aims output
- Energies, forces, structure
- Provenance graph
Interfaces & Ecosystem
- AiiDA: Workflow framework
- FHI-aims: All-electron DFT code
- Python: Core language
Performance Characteristics
- Speed: Workflow management (fast)
- Accuracy: FHI-aims-level
- System size: Any
- Automation: Full
Computational Cost
- Plugin: Negligible
- FHI-aims calculations: Hours (separate)
Limitations & Known Constraints
- FHI-aims only: No other code support
- AiiDA required: Must have AiiDA
- Species defaults: Need FHI-aims species files
- Limited documentation: Research code
Comparison with Other Codes
- vs aiida-vasp: Different DFT code, same framework
- vs FHI-aims directly: aiida-fhiaims adds provenance
- Unique strength: AiiDA plugin for FHI-aims with species defaults management and provenance tracking
Application Areas
FHI-aims Workflows:
- Automated FHI-aims calculations
- High-throughput with FHI-aims
- All-electron calculations
Mixed-Code:
- FHI-aims + other codes via AiiDA
- Cross-code validation
Best Practices
Setup:
- Install AiiDA and configure FHI-aims
- Set up species defaults
- Test with simple calculation
Community and Support
- Open source on GitHub
- Research code
- Limited documentation
Verification & Sources
Primary sources:
- GitHub: https://github.com/ansobolev/aiida-fhiaims
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- Specialized strength: AiiDA plugin for FHI-aims with species defaults management and provenance tracking