molssi-qca
Use this skill when accessing MolSSI Quantum Chemistry Archive for quantum chemistry calculations, benchmark datasets, or computational chemistry data.
SKILL.mdskills/molssi-qca/SKILL.md
GitHubOverview
MolSSI Quantum Chemistry Archive (QCArchive) is a comprehensive repository for quantum chemistry calculations and benchmark datasets. Developed by MolSSI, it provides standardized molecular calculations.
When to Use This Skill
Use this skill when you need to:
- Access benchmark datasets - S22, S66, and other standard benchmarks
- Query quantum chemistry calculations - HF, DFT, MP2, CCSD(T) results
- Compare methods - Performance across computational methods
- Get molecular geometries - Optimized structures
- Access wavefunction data - Full wavefunction information
- Use qcportal client - Python API access
Data Types
- Quantum chemistry calculations
- Benchmark datasets (S22, S66, etc.)
- Molecular geometries and energies
- Method comparison data
- Wavefunction and property data
Key Properties
- Total energies (HF, DFT, MP2, CCSD(T))
- Optimized geometries
- Interaction energies
- Dipole moments
- HOMO-LUMO gaps
Access Methods
- Web interface: Browse datasets and records
- API: QCArchive REST API
- Python: qcportal client library
Example Queries
from qcportal import PortalClient
client = PortalClient()
ds = client.get_dataset('S22')
records = ds.get_records(method='B3LYP')
Resources
- Website: https://qcarchive.molssi.org