Official Resources
- Homepage: https://github.com/ifilot/dftcxx
- Source Repository: https://github.com/ifilot/dftcxx
- Documentation: README and code comments
- License: Open Source (Educational)
- Author: Dr. Ivo Filot (Eindhoven University of Technology)
Overview
DFTCXX is an educational C++ Density Functional Theory program developed by Dr. Ivo Filot for understanding and teaching electronic structure theory. The code focuses on calculating the electronic structure of simple molecules using Gaussian basis sets, providing a clear implementation that can be studied, modified, and extended. It serves as a companion to the author's other educational codes (PyDFT, pyqint).
Scientific domain: Molecular DFT, electronic structure education
Target user community: Students and educators in computational chemistry, developers learning DFT implementation
Theoretical Methods
- Kohn-Sham Density Functional Theory
- Gaussian-type orbital (GTO) basis sets
- Exchange-correlation functionals
- Self-consistent field (SCF) iteration
- Molecular integrals
- Electron density analysis
Capabilities
- Ground-state molecular DFT
- Gaussian basis set calculations
- Small molecule electronic structure
- Clear C++ implementation
- Educational code design
- Extensible framework
Key Strengths
Educational Excellence:
- Clear, well-commented code
- Designed for learning
- Step-by-step algorithm implementation
- Companion to author's educational materials
Author Expertise:
- Dr. Ivo Filot - experienced code developer
- Author of PyDFT and pyqint
- Established educational software portfolio
- Active maintenance
Clean C++ Implementation:
- Object-oriented design
- Modern C++ practices
- Readable algorithms
- Modular structure
Ecosystem Integration:
- Companion to PyDFT (Python)
- Companion to pyqint (Python integrals)
- Consistent educational approach
Inputs & Outputs
-
Input formats:
- Molecular geometry
- Basis set specification
- DFT parameters
-
Output data types:
- Total energies
- Orbital energies
- Electron densities
- SCF convergence data
Interfaces & Ecosystem
Performance Characteristics
- Speed: Educational focus, small molecules
- System size: Simple molecules (H2, H2O, etc.)
- Memory: Minimal requirements
- Purpose: Teaching and understanding
Limitations & Known Constraints
- Production use: Not designed for research production
- System size: Small molecules only
- Features: Basic DFT functionality
- TDDFT: Would require extension
- Basis sets: Limited selection
Comparison with Other Codes
- vs PyDFT: C++ version, similar educational purpose
- vs production codes: Educational vs production focus
- vs ksdft++: Similar purpose, different author
- Unique strength: Part of Filot educational ecosystem
Application Areas
- Learning DFT implementation in C++
- Understanding SCF algorithms
- Teaching computational chemistry
- Code development practice
- Algorithm verification
Best Practices
- Study with author's PyDFT for comparison
- Use pyqint for understanding integrals
- Compare with textbook algorithms
- Extend for learning exercises
Community and Support
- Open-source on GitHub (ifilot)
- Part of educational code portfolio
- Academic author
- C++ implementation
Verification & Sources
Primary sources:
- GitHub repository: https://github.com/ifilot/dftcxx
- Author: Dr. Ivo Filot (TU/e)
- Related codes: PyDFT, pyqint
Confidence: VERIFIED - Active GitHub from established author
Verification status: ✅ VERIFIED
- Source code: OPEN (GitHub)
- Author: Dr. Ivo Filot (Eindhoven)
- Purpose: Educational C++ DFT
- Ecosystem: PyDFT, pyqint companion
- Language: C++