The codes are for the paper
Modeling Heat Conduction with Two-Dissipative Variables: A Mechanism-Data Fusion Method
All codes were developed and tested with Python 3.8, and were implemented by pytorch 1.10.1.
Code and default options can be found in train.py. You can simply modify these default options to benefit training.
python train.py
Trained parameters will be stored in directory like ./BTEdataU01N10/net_params_U01N10Coarse1steps1.pkl.
Download training and testing data and make your working directory like this:
traindata/
testdata_075_085/
testdata_discontinuous_cases/
train-predict/
train.py
predict.py
python predict.py
You can change the default options in predict.py to test different settings. Remember to change the CDFfile_path.