pyMARS 1.1.0¶
pyMARS is a Python package for reducing the size of chemical kinetic models; the name stands for Python-based Model Automatic Reduction. pyMARS is licensed under the permissive, open-source MIT license. The source code is publicly available on GitHub at https://github.com/Niemeyer-Research-Group/pyMARS.
pyMARS takes models given in the standard Cantera or Chemkin file formats (the latter is first converted to Cantera), along with a specified error limit and optional lists of species to always retain, and automatically removes as many species and reactions as possible using a specified method.
It uses provided conditions to sample thermochemical data for the reduction analysis and calculate global combustion metrics for determining the error. For example, typically most reductions will use autoignition simulations to sample state data and determine autoignition delay over the condition range desired for the reduced model.
pyMARS currently supports four methods for skeletal model reduction:
Directed relation graph (DRG)
Directed relation graph with error propagation (DRGEP)
Path flux analysis (PFA)
Sensitivity analysis (SA)
