qcop 0.4.8

A package for operating Quantum Chemistry programs using qcio standardized data structures. Compatible with TeraChem, psi4, QChem, NWChem, ORCA, Molpro, geomeTRIC and many more.

Quantum Chemistry Operate

A package for operating Quantum Chemistry programs using qcio standardized data structures. Compatible with TeraChem, psi4, QChem, NWChem, ORCA, Molpro, geomeTRIC and many more.

qcop works in harmony with a suite of other quantum chemistry tools for fast, structured, and interoperable quantum chemistry.

The QC Suite of Programs

• qcio - Beautiful and user friendly data structures for quantum chemistry.
• qcparse - A library for efficient parsing of quantum chemistry data into structured qcio objects.
• qcop - A package for operating quantum chemistry programs using qcio standardized data structures. Compatible with TeraChem, psi4, QChem, NWChem, ORCA, Molpro, geomeTRIC and many more.
• BigChem - A distributed application for running quantum chemistry calculations at scale across clusters of computers or the cloud. Bring multi-node scaling to your favorite quantum chemistry program.
• ChemCloud - A web application and associated Python client for exposing a BigChem cluster securely over the internet.

Installation

pip install qcop

Quickstart

qcop uses the qcio data structures to drive quantum chemistry programs in a standardized way. This allows for a simple and consistent interface to a wide variety of quantum chemistry programs. See the qcio library for documentation on the input and output data structures.

The compute function is the main entry point for the library and is used to run a calculation.

from qcio import Molecule, ProgramInput
from qcop import compute
# Create the molecule
h2o = Molecule.open("h2o.xyz")

# Define the program input
prog_input = ProgramInput(
    molecule=h2o,
    calctype="energy",
    model={"method": "hf", "basis": "sto-3g"},
    keywords={"purify": "no", "restricted": False},
)

# Run the calculation
output = compute("terachem", prog_input, collect_files=True)

# Inspect the output
output.input_data # Input data used by the QC program
output.success # Whether the calculation succeeded
output.results # All structured results from the calculation
output.stdout # Stdout log from the calculation
output.pstdout # Shortcut to print out the stdout in human readable format
output.files # Any files returned by the calculation
output.provenance # Provenance information about the calculation
output.extras # Any extra information not in the schema
output.traceback # Stack trace if calculation failed
output.ptraceback # Shortcut to print out the traceback in human readable format

Alternatively, the compute_args function can be used to run a calculation with the input data structures passed in as arguments rather than as a single ProgramInput object.

from qcio import Molecule
from qcop import compute_args
# Create the molecule
h2o = Molecule.open("h2o.xyz")

# Run the calculation
output = compute_args(
    "terachem",
    h2o,
    calctype="energy",
    model={"method": "hf", "basis": "sto-3g"},
    keywords={"purify": "no", "restricted": False},
    files={...},
    collect_files=True
)

The behavior of compute() and compute_args() can be tuned by passing in keyword arguments like collect_files shown above. Keywords can modify which scratch directory location to use, whether to delete or keep the scratch files after a calculation completes, what files to collect from a calculation, whether to print the program stdout in real time as the program executes, and whether to propagate a wavefunction through a series of calculations. Keywords also include hooks for passing in update functions that can be called as a program executes in real time. See the compute method docstring for more details.

See the /examples directory for more examples.

Support

If you have any issues with qcop or would like to request a feature, please open an issue.