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qcflow

This script has been developed by the Persson Group members including Sudarshan Vijay, Evan Walter Clark Spotte-Smith, Peichen Zhong, and others.

A customized package for Q-chem calculations & reaction network construction

The general approach using the qcflow

  • Create a directory containing the initial molecules in init_mols
  • Run python 1-FFopt-SP.py
  • Create a scratch dir, go to the dir and use qlaunch to submit jobs
  • Use qlaunch [OPTION], e.g. qlaunch rapidfire --nlaunches <N> to submit the job in one scratch directory, is the total number of jobs to be submitted
  • Run python 2-create-mol-json.py to get the json files of optimized molecules
  • Run python 3-fragment-recombine.py to get the fragmentation/recombination and store those in the MongoDB
  • Run python 4-compute-recombine.py to add the recombination mols to the workflow
  • Use qlaunch [OPTION] to submit the job in one scratch directory
  • Run python 5-create-json.py to get the results from Q-Chem calculations
  • Apply HiPGen [nix-shell] to analyze the results based on the json file

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