The AL process began with a log-spaced prior selection scheme, comprising pressures ranging from 1e-5 to 100 bar, and corresponding adsorption values generated from RASPA at 298 K. This initial dataset, consisting of 19 pressure points, served as the training data for the Gaussian process regression (GPR) model. Subsequently, predictions were made on the testing dataset, comprising the remaining pressure data points required for the full isotherms.