We can use our uncertainty-aware machine learning model to predict the heat capacity of any nanoporous materials. In Figure and 4a, we show the predicted heat capacity at room temperature for the experimental structures reported in CoRE-MOF, CURATED-COFs, and IZA zeolites databases. We note that for many of these materials, quantum calculations are not feasible due to the excessive computational costs. The materials exhibit a wide range of heat capacities, and similar to the previous section, we observe a clear relationship between heat capacity and atomic mass.