model_name: 'PINN'

scenario: 'diff-sorp'
model_update: 500
filename: '1D_diff-sorp_NA_NA/1D_diff-sorp_NA_NA.h5'
epochs: 15000
learning_rate: 1.e-3
seed: '0000'
# unused arguments
input_ch: 0
output_ch: 1
root_path: '.'
val_num: 1
if_periodic_bc: False
aux_params: 0