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data
data
 
 
README
README
 
 
cantera_sensitivity_comparison.ipynb
cantera_sensitivity_comparison.ipynb
 
 
cantera_simulation.ipynb
cantera_simulation.ipynb
 
 
combustion_model_and_ignition_delay_demo.ipynb
combustion_model_and_ignition_delay_demo.ipynb
 
 
estimate_solvation_thermo_and_search_available_solvents.ipynb
estimate_solvation_thermo_and_search_available_solvents.ipynb
 
 
find_parameter_sources_and_assign_uncertainties.ipynb
find_parameter_sources_and_assign_uncertainties.ipynb
 
 
fragment_reattachment_example.ipynb
fragment_reattachment_example.ipynb
 
 
generate_reactions.ipynb
generate_reactions.ipynb
 
 
global_uncertainty.ipynb
global_uncertainty.ipynb
 
 
kinetics_library_to_training.ipynb
kinetics_library_to_training.ipynb
 
 
kinetics_library_to_training_tools.py
kinetics_library_to_training_tools.py
 
 
local_uncertainty.ipynb
local_uncertainty.ipynb
 
 
mechanism_analyzer.ipynb
mechanism_analyzer.ipynb
 
 
regression_test.ipynb
regression_test.ipynb
 
 
temperature_dependent_solvation_free_energy.ipynb
temperature_dependent_solvation_free_energy.ipynb
 
 

README

This folder contains ipython notebooks containing scripts and other notes related to using RMG.

If you do not have ipython installed, we suggest installing it through the jupyter package while your rmg environment is activated by typing the following commands:

source activate rmg_env
conda install jupyter


For Windows users:

activate rmg_env
conda install jupyter