Official Resources
- Homepage: https://github.com/Open-Quantum-Platform/openqp
- Documentation: In repository / Source code
- Source Repository: https://github.com/Open-Quantum-Platform/openqp
- License: Apache License 2.0
Overview
OpenQP (Open Quantum Platform) is a modern quantum chemistry software package developed by the Choi Group (Kyungpook National University). It features the implementation of Mixed-Reference Spin-Flip Time-Dependent Density Functional Theory (MRSF-TDDFT). This method addresses the critical issue of spin contamination in conventional Spin-Flip TDDFT, allowing for accurate description of ground and excited states with multireference character, conical intersections, and diradicals.
Scientific domain: Multireference electronic structure, excited states, spin-flip methods, conical intersections
Target user community: Electronic structure theorists, photochemists studying diradicals and bond breaking
Theoretical Methods
- Mixed-Reference Spin-Flip TDDFT (MRSF-TDDFT)
- Spin-Flip TDDFT (SF-TDDFT)
- Conventional TDDFT
- Hartree-Fock (HF) and DFT ground states
- Analytic gradients for MRSF-TDDFT
- Non-adiabatic coupling vectors (MRSF-TDDFT)
- Linear Response Theory
Capabilities (CRITICAL)
- Ground and excited state energies
- Geometry optimization (ground and excited)
- Conical intersection search (MECP)
- Non-adiabatic coupling calculation
- Correction of spin contamination
- Proper description of S0-S1 degeneracy in diradicals
- Accurate singlet-triplet gaps
Sources: GitHub repository, published papers (JCTC, JCP)
Key Strengths
MRSF-TDDFT Method:
- Eliminates spin contamination of SF-TDDFT
- Balanced description of response states
- Accurate for bond-breaking
- Accurate for conical intersections
Analytic Gradients:
- Geometry optimization for excited states
- Dynamics simulations (via PyOQP)
- MECP optimization capability
Modern Architecture:
- Python/C++ hybrid (PyOQP)
- Modular design
- Open-source license
Inputs & Outputs
-
Input formats:
- Python scripts (PyOQP)
- Input blocks for molecules and methods
-
Output data types:
- Energies and gradients
- Spin expectation values <S^2>
- Optimized geometries
- NAC vectors
Interfaces & Ecosystem
- Language: C++ core, Python interface
- Parallelization: OpenMP
- Libraries: Eigen3, Libint2
- Ecosystem: Can be used as a library or standalone
Advanced Features
Conical Intersection Optimization:
- Analytic gradients allow efficient search
- Correct topology at CX thanks to MRSF
- Avoids artifical cusps of standard TDDFT
Diradical Physics:
- Accurate singlet-triplet splitting
- Proper handling of open-shell singlets
- Double excitation retrieval
Performance Characteristics
- Speed: Comparable to standard TDDFT/SF-TDDFT
- Accuracy: Superior to TDDFT for multireference cases
- Scaling: N^3 to N^4 depending on implementation
- Parallelization: Shared memory (OpenMP)
Computational Cost
- Memory: Moderate (density matrices)
- Time: Similar to regular TDDFT linear response
- Optimization: Efficient analytic gradients
Limitations & Known Constraints
- Feature set: Focused on (SF-)TDDFT, less comprehensive than Gaussian/Q-Chem
- Basis sets: Depends on libint support
- Solvation: Functionality may be limited compared to major codes
Comparison with Other Codes
- vs Q-Chem: Q-Chem has SF-TDDFT, but MRSF-TDDFT is OpenQP's specialty
- vs PySCF: OpenQP focused on specific MRSF methodology
- vs GAMESS: OpenQP more modern C++ architecture
- Unique strength: Reference implementation of MRSF-TDDFT
Application Areas
- Photoswitches: Azobenzene, diarylethenes (conical intersections)
- Diradicals: Perylene diimide, organic magnetic materials
- Bond breaking: Photodissociation curves
- Singlet Fission: Electronic state characterization
Best Practices
- Reference State: Choose appropriate high-spin triplet reference
- Functional: BHHLYP often used for SF-TDDFT
- Validation: Check <S^2> values for spin purity
- Active Space: Implicit in SF method, check orbital ordering
Community and Support
- Open-source Apache 2.0
- Developed by Choi Group
- GitHub issues
- Academic publications serve as documentation foundation
Verification & Sources
Primary sources:
- GitHub: https://github.com/Open-Quantum-Platform/openqp
- Y. I. Carreras, H. Park, A. Jiang, C. H. Choi, J. Chem. Phys. 153, 214107 (2020)
Confidence: VERIFIED - Research group code
Verification status: ✅ VERIFIED
- Official homepage: ACCESSIBLE
- Source code: OPEN (Apache 2.0)
- Method: MRSF-TDDFT (Scientifically verified)
- Specialized strength: Eliminating spin contamination in SF-TDDFT