Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames.
Codes for the paper: FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames.
Preprint version: https://arxiv.org/abs/2406.09071.
The mechanism file (1S_CH4_MP.yaml) must be copied to the mechanism folder of Cantera. (When using Windows with Anaconda, the folder path is: "...\anaconda\Lib\site-packages\cantera\data\".)
Case 1 (simplified freely-propagating premixed flames):
Case 2 (detailed freely-propagating premixed flames):
Case 3 (detailed counterflow premixed flames):
