The temperature dependence of ∆H diss can be neglected when the temperature does not deviate too much from room temperature. In Figures and it is demonstrated that this method works for a temperature between 243 and 364K. However, to calculate the solid solubility at higher temperatures, the temperature dependence of the dissolution enthalpy has to be considered through numerical integration, Eq. 11. For this method, we use (i) the machine learning model predictions for the solute parameters (ii) the correlations published by Abraham and Acree for ∆H sub,298K , C p,g , and C p,s , (iii) the transfer learning model predictions for ∆G solv,298K and ∆H solv,298K , and (iv) the method published by Chung et al. to calculate the temperature dependent solvation enthalpy using critical properties of the solvent for calculation of the saturation density. Since the critical properties of the solvent are only collected for a limited set of solvents considered in this work, this method is currently restricted to ∼100 solvents with tabulated critical properties.