Machine learning-assisted prediction of water adsorption isotherms and cooling performance

Abstract

Efficient machine learning models were demonstrated to predict water adsorption isotherms of various adsorbents based on uptake pressures and structure properties, as well as predict adsorption cooling performance based on isotherm features.