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QMflows: A Tool Kit for Interoperable Parallel Workflows in Quantum Chemistry.

Felipe Zapata1,2, Lars Ridder2, Johan Hidding2

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|July 2, 2019
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Summary
This summary is machine-generated.

We introduce QMflows, a Python package for automating quantum chemistry workflows. This open-source tool simplifies complex computational tasks, enabling interoperable and efficient execution across multiple quantum chemistry codes on parallel systems.

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Area of Science:

  • Computational Chemistry
  • Scientific Software Engineering

Background:

  • Quantum chemistry calculations are essential for molecular modeling.
  • Developing complex workflows across different quantum chemistry packages is challenging.
  • Efficient execution on high-performance computing resources is crucial.

Purpose of the Study:

  • To present the QMflows Python package for quantum chemistry workflow automation.
  • To enable users to write complex, interoperable workflows using simple Python scripts.
  • To facilitate efficient execution of these workflows on large-scale parallel computers.

Main Methods:

  • Development of the QMflows open-source Python package.
  • Implementation of standardized interfaces for multiple quantum chemistry codes.
  • Design for extensibility to accommodate additional quantum chemistry packages.
  • Demonstration of features with representative applications.

Main Results:

  • QMflows provides a framework for automating quantum chemistry workflows.
  • The package supports interoperability between diverse quantum chemistry codes.
  • Workflows can be efficiently executed on parallel computing architectures.
  • Standardized interfaces simplify integration and extension.

Conclusions:

  • QMflows streamlines the development and execution of complex quantum chemistry workflows.
  • The package enhances interoperability and efficiency in computational chemistry research.
  • QMflows is a valuable open-source tool for the computational science community.