Fitting affinity and exponential hydration models from isothermal experimental data.

See experimental data at https://doi.org/10.5281/zenodo.15212785

Run e.g.: python3 FitHydrationModel.py '105-CEM I 42.5 Rsc Mokra-306.csv'

The results will give parameters for affinity and exponential models. Fitted parameters affinity: [7.85280910e-01 2.67087623e-03 6.89525286e+00 8.49900000e-01] 500.0 38300.0 DoH_max: 0.6661 Time_max: 307.24 Fitted parameters exponential: [30.3268329 0.67030343 0.8499 ]

The script will create two files, containing prediction of fitted models, e.g. 105-Fit-aff.csv and 105-Fit-exp.csv.