Create and run astrochemical networks in python that can be ported into C++ for GPU acceleration. Inspired from pynucastro - https://github.com/psharda/pynucastro
Currently, it supports building primordial chemistry networks available in the astrochemistry package Krome - https://bitbucket.org/tgrassi/krome/wiki/Home
Simply open python and run the write_actual_rhs.py script to see what the code does.
Note that cxxcode in sympy was hacked to create the customized output that makes actual_rhs.H faster, by replacing std::pow with a combination of std::exp and std::log wherever possible. The hacked code is present in c.py, and has been tested on sympy version 1.12.1. The file c.py is present in /Applications/anaconda3/lib/python3.9/site-packages/sympy/printing/
write_actual_rhs.py will produce the actual_rhs.H file. To replace std::pow in this file with amrex::Math::powi (being used by Microphysics since 2024), run the script check_powi.py actual_rhs.H actual_rhs.H
For queries, contact Piyush Sharda at sharda@strw.leidenuniv.nl