Eutectic salts are widely utilized as latent heat storage materials in various thermal energy storage and management applications. However, developing efficient and accurate methods to predict the thermophysical properties of molten salts and guide their design remains a significant challenge. This study focuses on thermal properties, constructing an element gene feature database, and introducing an integrated machine-learning strategy for the design, screening, and evaluation of eutectic salts. Marginal contribution analysis reveals that the melting point is primarily influenced by features related to structural stability, while the fusion enthalpy is strongly associated with features affecting atomic bonding strength. Based on these insights, five novel eutectic salts are designed and experimentally validated. Among them, NaCl-NaF (66.0–34.0 mol%) exhibits a melting point of 683.7 °C and a fusion enthalpy of 588.8 J/g. High-temperature testing demonstrates that the prediction accuracies for the melting point and fusion enthalpy of the five salts are 94.49 % and 95.01 %, respectively. This study presents an effective and efficient approach for the precise targeted design of novel eutectic salts, offering expanded possibilities and options for the efficient utilization of renewable energy.
The influence of water-soluble polyethylene glycols PEG200 on the properties of sodium bis(2-ethylhexyl)-sulfosuccinate (AOT) water-in-isooctane microemulsions has been investigated by conductivity measurement and isothermal titration microcalorimetry (ITC). The percolation temperatures ( T p ), the thermodynamic properties of droplet aggregation and the interaction enthalpy (−Δ H φ ) between droplets for AOT/water/PEG200/isooctane with different PEG concentrations and a fixed molar ratio of water to surfactant ω = 22.2 were determined. Based on a two-stage thermodynamic approach of the percolation, we obtained the fusion enthalpy (Δ H f 0 ) of the close contact droplets by a combination of the droplet aggregation enthalpy (Δ H ag 0 ) and −Δ H φ . It was found that both (−Δ H φ ) and (Δ H f 0 ) varied with the concentration of PEG200 ( c PEG ) and had the extreme value at c PEG = 25 g L −1 . This phenomenon was interpreted by the variation of interface rigidity due to the varied distributions of added PEG200 between the water pool and the surfactant interface.