We started our calculation using the Mat2spec data set to validate the effectiveness our atomic embedding model. The eDOS data in this dataset is represented in energy windows range from -4 to 4 eV, with 128 data points, and the energy axis is shifted so that the Fermi level energy is set to 0.We divided the reference dataset into train, validation, and test sets as in the original work . The fine-tuning model contained 256 LSTM cells and 128 output neurons. Training was performed in 135 epochs with batch size 32.