It is apparent from the results that ThermoLearn significantly outperforms the other algorithms, exhibiting even greater (70 % for JANAF and 60 % for PhononDB) margins of improvement compared to those observed in Table . The incorporation of thermodynamic constraints in ThermoLearn enables it to acquire domain-specific knowledge, which significantly enhances its ability to generalize across data that is inherently different from that used in training.